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Journal articles on the topic 'Bug Processing'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Angel, T. S. Shiny, G. Senthil Kumar, V. Mohit Sehgal, and Gargi Nayak. "Effective Bug Processing and Tracking System." Journal of Computational and Theoretical Nanoscience 15, no. 8 (2018): 2604–6. http://dx.doi.org/10.1166/jctn.2018.7506.

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2

Swapnali, Sonawane *. Prof.D.S.Kulkarni. "CONSTRUCTION OF IMPROVED PROCESS MODELS BY CLUSTERING EVENT LOGS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 7 (2017): 216–521. https://doi.org/10.5281/zenodo.829757.

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One main motive is to solve the problem that presently exist in process discovery, which includes unable to search out correct and understandable process models out of event logs stemming from exceptionally flexible environments. Programming analyst spend extra time in dealing with programming bugs. An unavoidable stride of fixing bugs is bug processing in a system, because of this to efficaciously relegate a designer to every other bug. To decrease the time cost in manual work, content classifications are linked to lead programmed bug processing. This system addresses the difficulty of statis

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3

Sutar, Manoj. "Software Bug Classification Using Machine Learning." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04233.

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Abstract This research presents a Software Bug Classification system that utilizes machine learning and natural language processing to automatically categorize bug reports. The system is trained on labeled datasets containing software issue descriptions and applies text classification techniques to identify the type of bug—such as functionality, performance, or user interface-related issues. Machine learning models like Support Vector Machines (SVM), Naive Bayes, and transformer-based models such as BERT are used to enhance classification accuracy. A user-friendly web interface developed using

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Kelin, A. R. Darshika, B. Nagarajan, Sasikumar Rajendran, and Muthumari S. "Automatic Bug Classification System to Improve the Software Organization Product Performance." International Journal of Sociotechnology and Knowledge Development 14, no. 1 (2022): 1–17. http://dx.doi.org/10.4018/ijskd.310066.

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Consistently, many bugs are raised, which are not completely settled, and countless designers are utilizing open sources or outsider assets, which prompts security issues. Bug-triage is the impending mechanized bug report framework to appoint individual security teams for a more than adequate pace of bug reports submitted from various IDEs inside the association (on-premises). We can lessen the time and cost of bug following and allocate it to the fitting group by foreseeing which division it has a place in within an association. In this paper, the authors are executing an automatic bug tracki

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Chhabra, Deepshikha, and Raman Chadha. "Automatic Bug Triaging Process: An Enhanced Machine Learning Approach through Large Language Models." Engineering, Technology & Applied Science Research 14, no. 6 (2024): 18557–62. https://doi.org/10.48084/etasr.8829.

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Bug resolution and maintenance are the most critical phases of the software development life cycle. The traditional bug triaging concept refers to the manual assignment of bugs to the appropriate developer after reading the bug details from the bug tracker and further resolving it. The advent of machine learning algorithms provides various solutions for automated bug triaging. Machine learning algorithms can be used to classify bugs and assign each to a developer. Reducing manual efforts optimizes bug-triaging by utilizing manpower in other software development processes. Furthermore, machine

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Praveen, G., V. Sridhar Reddy, and Shaik Abdul Nabi. "A Novel Approach on Towards Effective Bug Triage and Improve the Quality of Bug Data." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 9 (2017): 1. http://dx.doi.org/10.23956/ijarcsse.v7i9.402.

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In order to diminution the time cost in physical work, text classification practices are pragmatic to conduct automatic bug triage. Presently, software companies spend over 45 percent of cost in dealing with software bugs. A foreseeable step of fixing bugs is bug triage, which ambitions to decorously consign a developer to a new bug. In this scheme, it is addressed the problem of data reduction for bug triage, to reduce the scale and progress the reputation of bug data. It is here combined with instance selection with feature selection to simultaneously reduce data scale on the bug dimension a

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Nhan, Phuc Minh, and Thien Hoang Duy Nguyen. "MULTI-FEATURE MODEL FOR DUPLICATE BUG REPORTS DETECTION SOLUTION." Scientific Journal of Tra Vinh University 1, no. 1 (2019): 29–36. http://dx.doi.org/10.35382/18594816.1.1.2019.84.

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For open source software such as Firefox, Eclipse, Subversion,. . . they usually have a system for bug management that sent by users. These bug reports help the system identify various software bugs which makes software maintenance better. However, a situation occurs that there are many error reports sent to the processing repository that these bug reports were previously reported by different users, this is called duplicate bug reports. In this paper, we introduce a multi-feature model combined with weighted improvements from CFC (ClassFeature-Centroid) to detect duplicate bug reportsautomati

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Kim, Kisub, Sankalp Ghatpande, Kui Liu, et al. "DigBug—Pre/post-processing operator selection for accurate bug localization." Journal of Systems and Software 189 (July 2022): 111300. http://dx.doi.org/10.1016/j.jss.2022.111300.

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Rucci, Michele, and Jonathan D. Victor. "The unsteady eye: an information-processing stage, not a bug." Trends in Neurosciences 38, no. 4 (2015): 195–206. http://dx.doi.org/10.1016/j.tins.2015.01.005.

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Luaphol, B., J. Polpinij, and M. Kaneampornpan. "Automatic dependent bug reports assembly for bug tracking systems by threshold-based similarity." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1620. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1620-1633.

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<p>Bug reports contain essential information for fixing problems that occur in software. Many studies have proposed methods for automatic analysis of bug reports. One such task could affect the completion of software bug fixing, known as “bug dependency”. Although this problem was mentioned by many researches, most of them discussed about the related bugs but not really dealt with dependency issue in bug reports. One possible solution used for addressing this issue is to assemble all relevant/dependent bug reports together before analysis of the next processing stages. This study present

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Luaphol, B., J. Polpinij, and M. Kaenampornpan. "Automatic dependent bug reports assembly for bug tracking systems by threshold-based similarity." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1620–33. https://doi.org/10.11591/ijeecs.v23.i3.pp1620-1633.

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Bug reports contain essential information for fixing problems that occur in software. Many studies have proposed methods for automatic analysis of bug reports. One such task could affect the completion of software bug fixing, known as “bug dependency”. Although this problem was mentioned by many researches, most of them discussed about the related bugs but not really dealt with dependency issue in bug reports. One possible solution used for addressing this issue is to assemble all relevant/dependent bug reports together before analysis of the next processing stages. This study pres

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Soria, Gregorio, Lidia Ortega, Francisco R. Feito, and Inmaculada Barroso. "Processing panoramic images in heritage. Jaen Cathedral." Virtual Archaeology Review 6, no. 13 (2015): 28. http://dx.doi.org/10.4995/var.2015.4368.

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A spherical photo is an image that it can show a scene and the user can interact with its. We are working in the Jaén’s cathedral. We are giving the possibility of a virtual visit with good results in many points at this place. We labored with a camera called Lady Bug 2. It can take spherical photo very easy. We used some web tools where we share all ours work.

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13

Guo, Shikai, Shifei Chen, Siwen Wang, et al. "A Multi-Factor Approach for Selection of Developers to Fix Bugs in a Program." Applied Sciences 9, no. 16 (2019): 3327. http://dx.doi.org/10.3390/app9163327.

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In a software tracking system, the bug assignment problem refers to the activities that developers perform during software maintenance to fix bugs. As many bugs are submitted on a daily basis, the number of developers required is quite large, and it therefore becomes difficult to assign the right developers to resolve issues with specific bugs. Inappropriate dispatches results in delayed processing of bug reports. In this paper, we propose an algorithm called ABC-DR to solve the bug assignment problem. The ABC-DR algorithm is a two-part composite approach that includes analysis between bug rep

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Zhao, Yu, Ting Su, Yang Liu, et al. "ReCDroid+: Automated End-to-End Crash Reproduction from Bug Reports for Android Apps." ACM Transactions on Software Engineering and Methodology 31, no. 3 (2022): 1–33. http://dx.doi.org/10.1145/3488244.

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The large demand of mobile devices creates significant concerns about the quality of mobile applications (apps). Developers heavily rely on bug reports in issue tracking systems to reproduce failures (e.g., crashes). However, the process of crash reproduction is often manually done by developers, making the resolution of bugs inefficient, especially given that bug reports are often written in natural language. To improve the productivity of developers in resolving bug reports, in this paper, we introduce a novel approach, called ReCDroid+, that can automatically reproduce crashes from bug repo

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Moreano, Tana Balesdent, Alessandro de Lucca e. Braccini, Carlos Alberto Scapim, José de Barros França-Neto, Francisco Carlos Krzyzanowski, and Odair José Marques. "Physical and physiological qualities of soybean seed as affected by processing and handling." Journal of Seed Science 35, no. 4 (2013): 466–77. http://dx.doi.org/10.1590/s2317-15372013000400008.

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Seed processing machines remove viable seeds from non-viable seeds and inert materials based on physical characteristics. The objective of this study was to assess the effect of each processing machine alone on the physical and physiological qualities of the soybean seeds. Seed samples of two soybean cultivars - BMX Potência RR and NK 7059 RR - were collected from five machines separately: air-screen machine, spiral separator, size grader and gravity separator. The experimental design was a completely randomized factorial, varying with the equipment, with 20 replications. Samples were assessed

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Mukhtar, Samal, Claudia Cahya Primadani, Seonah Lee, and Pilsu Jung. "A Comparison of Summarization Methods for Duplicate Software Bug Reports." Electronics 12, no. 16 (2023): 3456. http://dx.doi.org/10.3390/electronics12163456.

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Bug reports vary in length, while some bug reports are lengthy, others are too brief to describe bugs in detail. In such a case, duplicate bug reports can serve as valuable resources for enriching bug descriptions. However, existing bug summarization methods mainly focused on summarizing a single bug report. In this paper, we focus on summarizing duplicate bug reports. By doing so, we aim to obtain an informative summary of bug reports while reducing redundant sentences in the summary. We apply several text summarization methods to duplicate bug reports. We then compare summarization results g

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Köksal, Ömer, and Bedir Tekinerdogan. "Automated Classification of Unstructured Bilingual Software Bug Reports: An Industrial Case Study Research." Applied Sciences 12, no. 1 (2021): 338. http://dx.doi.org/10.3390/app12010338.

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Software bug report classification is a critical process to understand the nature, implications, and causes of software failures. Furthermore, classification enables a fast and appropriate reaction to software bugs. However, for large-scale projects, one must deal with a broad set of bugs from multiple types. In this context, manually classifying bugs becomes cumbersome and time-consuming. Although several studies have addressed automated bug classification using machine learning techniques, they have mainly focused on academic case studies, open-source software, and unilingual text input. Thi

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Khilchevskyi, Valentyn, Myroslava Zabokrytska, and Natalia Petryk. "HYDROCHEMISTRY OF THE TRANSBOUNDARY WESTERN BUG RIVER IN UKRAINE." GEOGRAPHY AND TOURISM, no. 44 (2018): 120–31. http://dx.doi.org/10.17721/2308-135x.2019.44.120-131.

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The purpose of the article is to study the hydrographic features of the transboundary Western Bug River basin in Ukraine, its hydrochemical regime and ion flow, as well as possible manifestations of anthropogenic influence on them. Methods. The methods of statistical processing of data of observation series, the method of calculating the ion flow were used. Results. The features of the hydrochemical regime and the ionic runoff of the transboundary river are estimated. Western Bug on the main ions in Ukraine. Especially noted anthropogenic influence r. Poltva, into which the wastewater of Lviv

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19

Ali, Waqas, and Mariam Sabir. "Cross-Platform Bug Localization Strategies: Utilizing Machine Learning for Diverse Software Environment Adaptability." Emerging Technologies and Engineering Journal 1, no. 1 (2024): 15–25. http://dx.doi.org/10.53898/etej2024112.

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This paper introduces a novel hybrid machine learning model that combines Long Short-Term Memory (LSTM) networks and SHapley Additive exPlanations (SHAP) to enhance bug localization across multiple software platforms. The aim is to adapt to the variability inherent in different operating systems and provide transparent, interpretable results for software developers. Our methodology includes comprehensive preprocessing of bug report data using advanced natural language processing techniques, followed by feature extraction through word embeddings to accommodate the sequential nature of text data

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20

Cullen, Eileen M., and Frank G. Zalom. "On-Farm Trial Assessing Efficacy of Three Insecticide Classes for Management of Stink Bug and Fruit Damage on Processing Tomatoes." Plant Health Progress 8, no. 1 (2007): 23. http://dx.doi.org/10.1094/php-2007-0323-01-rs.

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Five foliar insecticides representing a neonicotinoid (thiamethoxam), a pyrethroid (lambda-cyhalothrin), a neonicotinoid plus pyrethroid (thiamethoxam and lambda-cyhalothrin), and two organophosphates (dimethoate and methamidophos, respectively) were evaluated for relative efficacy in managing consperse stink bug (Euschistus conspersus Uhler) on California processing tomatoes. E. conspersus density and percentage fruit damage were measured at harvest in an on-farm experiment at two locations in 2002, and small plot experiments in 2002 and 2003. Results showed that thiamethoxam plus lambda-cyha

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21

Demchenko, Dmitrii, Marina Bolsunovskaya, Svetlana Shirokova, et al. "Development of a bug tracking system for processing complaints to medical organizations." E3S Web of Conferences 284 (2021): 04010. http://dx.doi.org/10.1051/e3sconf/202128404010.

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The article substantiates the feasibility of developing and implementing an automated bug tracking system “Organization of work with citizens' appeals” to optimize the existing business processes for processing appeals and complaints to medical organizations of St. Petersburg. The article analyzes the key business processes of the enterprise in the field of registration and routing of complaints, as well as the formation of reports. The process of development and implementation of an automated system for processing requests is described, the effectiveness of implementation is assessed, and rec

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Kuttschreuter, Margôt, and Jan M. Gutteling. "Experience‐based processing of risk information: the case of the millennium bug." Journal of Risk Research 7, no. 1 (2004): 3–16. http://dx.doi.org/10.1080/1366987042000151179.

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23

Tabassum, Nadia, Abdallah Namoun, Tahir Alyas, Ali Tufail, Muhammad Taqi, and Ki-Hyung Kim. "Classification of Bugs in Cloud Computing Applications Using Machine Learning Techniques." Applied Sciences 13, no. 5 (2023): 2880. http://dx.doi.org/10.3390/app13052880.

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In software development, the main problem is recognizing the security-oriented issues within the reported bugs due to their unacceptable failure rate to provide satisfactory reliability on customer and software datasets. The misclassification of bug reports has a direct impact on the effectiveness of the bug prediction model. The misclassification issue surely compromises the accuracy of the system. Manually reviewing bug reports is necessary to solve this problem, but doing so takes a lot of time and is tiresome for developers and testers. This paper proposes a novel hybrid approach based on

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Pichkur, Ye V. "New data on flint processing of East Trypillia tribes of the Bug-Dnieper interfluve." VITA ANTIQUA, no. 13 (2021): 113–28. http://dx.doi.org/10.37098/va-2021-13-113-128.

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For the first time, materials of such settlements of the East Trypillia culture as Trostyanchyk, Onopriyivka І are published. Despite approximately the same quantitative ratio, even at first glance, the materials of these two leaflets differ significantly from each other. The Trostyanchyk complex is actually blade-type: blades prevail both among production waste and among the tool kit. Flakes and tools on them dominate in Onopriyivka. If the Trostyanchyk complex can be regarded as "classic" in terms of the tool kit: retouched blades, end-scrapers, sickle inserts, perforators on blades, etc., t

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Alsaedi, Shatha, Ahmed A. A. Gad-Elrab, Amin Noaman, and Fathy Eassa. "Two-Level Information-Retrieval-Based Model for Bug Localization Based on Bug Reports." Electronics 13, no. 2 (2024): 321. http://dx.doi.org/10.3390/electronics13020321.

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Software bugs are a noteworthy concern for developers and maintainers. When a failure is detected late, it costs more to be fixed. To repair the bug that caused the software failure, the location of the bug must first be known. The process of finding the defective source code elements that led to the failure of the software is called bug localization. Effective approaches for automatically locating bugs using bug reports are highly desirable, as they would reduce bug-fixing time, consequently lowering software maintenance costs. With the increasing size and complexity of software projects, man

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Čokl, Andrej, Alenka Žunič-Kosi, Nataša Stritih-Peljhan, Maria Carolina Blassioli-Moraes, Raúl Alberto Laumann, and Miguel Borges. "Stink Bug Communication and Signal Detection in a Plant Environment." Insects 12, no. 12 (2021): 1058. http://dx.doi.org/10.3390/insects12121058.

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Plants influenced the evolution of plant-dwelling stink bugs’ systems underlying communication with chemical and substrate-borne vibratory signals. Plant volatiles provides cues that increase attractiveness or interfere with the probability of finding a mate in the field. Mechanical properties of herbaceous hosts and associated plants alter the frequency, amplitude, and temporal characteristics of stink bug species and sex-specific vibratory signals. The specificity of pheromone odor tuning has evolved through highly specific odorant receptors located within the receptor membrane. The narrow-b

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Cullen, Eileen M., and Frank G. Zalom. "Phenology-Based Field Monitoring for Consperse Stink Bug (Hemiptera: Pentatomidae) in Processing Tomatoes." Environmental Entomology 29, no. 3 (2000): 560–67. http://dx.doi.org/10.1603/0046-225x-29.3.560.

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Arora, Amandeep Singh, and Dr Linesh Raja. "Design And Implementation Of Bug Resolution Prediction Scheme On Hpc Systems Through Large-Scale Log Analysis." International Journal of Environmental Sciences 11, no. 10s (2025): 870–85. https://doi.org/10.64252/akd8kk57.

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In the realm of High-Performance Computing (HPC), where computational power propels scientific advancement to new heights, the complexity and scale of modern systems bring forth a formidable challenge - the mitigation of software bugs and performance bottlenecks. Addressing this issue necessitates proactive and automated methodologies that enable bug prediction and resolution before their disruptive consequences emerge. To this end, we present an innovative Bug Resolution Prediction Scheme (BRPS), leveraging large-scale log analysis as the cornerstone of its predictive prowess. Our meticulousl

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Tang, Xiu, Sai Wu, Dongxiang Zhang, Ziyue Wang, Gongsheng Yuan, and Gang Chen. "A Demonstration of DLBD: Database Logic Bug Detection System." Proceedings of the VLDB Endowment 16, no. 12 (2023): 3914–17. http://dx.doi.org/10.14778/3611540.3611584.

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Database management systems (DBMSs) are prone to logic bugs that can result in incorrect query results. Current debugging tools are limited to single table queries and struggle with issues like lack of ground-truth results and repetitive query space exploration. In this paper, we demonstrate DLBD, a system that automatically detects logic bugs in databases. DLBD offers holistic logic bug detection by providing automatic schema and query generation and ground-truth query result retrieval. Additionally, DLBD provides minimal test cases and root cause analysis for each bug to aid developers in re

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Feng, Nan, Tianlu Zhou, Haiyang Feng, and Minqiang Li. "Optimal Launch Timing of Bug Bounty Programs for Software Products under Different Licensing Models." Journal of the Association for Information Systems 25, no. 2 (2024): 239–66. http://dx.doi.org/10.17705/1jais.00843.

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An increasing number of software firms are utilizing bug bounty programs (BBPs) to detect bugs and enhance their product quality by leveraging the contributions of external ethical hackers. Although launching a BBP involves bounties as well as the costs of processing bug reports and fixing bugs, software firms can save failure costs and enjoy the benefits of greater user trust. The costs and benefits resulting from launching a BBP vary with launch timings and software licensing models. Hence, we investigate the optimal BBP launch strategies for software firms, using perpetual or subscription l

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Sonawane, Vijay Dhanaraj, Pratap Singh Patwal, and Vinod S. Wadne. "SOFTWARE BUG DETECTION AND CLASSIFICATION USING MACHINE LEARNING TECHNIQUES: A SURVEY." International Journal of Global Research Innovations & Technology 02, no. 04 (2024): 227–34. https://doi.org/10.62823/ijgrit/02.04.7110.

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Bug classification in software is an important area in software engineering, which involves identification and categorization of defects to make the process of debugging easier and improve software quality. During the past five years, there has been a significant development in the use of machine learning techniques for bug classification automation due to the availability of open-source repositories and bug tracking systems that provide large datasets. For severity, type, or source classification of bugs, the various machine learning models used are mainly deep learning and natural language p

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Pichkur, Ye V. "COMPONENTS OF THE FLINT MADE INDUSTRY OF THE CUCUTENI-TRYPILLIAN COMMUNITY: EXTRACTION AND DISTRIBUTION OF FLINT." Archaeology and Early History of Ukraine 32, no. 3 (2019): 37–48. http://dx.doi.org/10.37445/adiu.2019.03.03.

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Having quite a massive and diverse source of raw materials tribes of Cucuteni-Trypillian community begin its active exploitation and utilization already from the early stages of their existence and continue throughout all their following history. Flint industry of Cucuteni-Trypillian community centers around two main scenarios: extraction — processing — distribution and / or extraction — distribution — processing of flint materials. There were a few completely different ways of flint extraction. First one (opened) was the simplest, did not require special skills and hard labor, being a s

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Khan, Sara, and Saurabh Pal. "User Interface Bug Classification Model Using ML and NLP Techniques: A Comparative Performance Analysis of ML Models." International Journal of Experimental Research and Review 45, Spl Vol (2024): 56–69. https://doi.org/10.52756/ijerr.2024.v45spl.005.

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Analyzing user interface (UI) bugs is an important step taken by testers and developers to assess the usability of the software product. UI bug classification helps in understanding the nature and cause of software failures. Manually classifying thousands of bugs is an inefficient and tedious job for both testers and developers. Objective of this research is to develop a classification model for the User Interface (UI) related bugs using supervised Machine Learning (ML) algorithms and Natural Language Processing (NLP) techniques. Also, to assess the effect of different sampling and feature vec

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Haque, Md Asraful, and Shuai Li. "The Potential Use of ChatGPT for Debugging and Bug Fixing." EAI Endorsed Transactions on AI and Robotics 2, no. 1 (2023): e4. http://dx.doi.org/10.4108/airo.v2i1.3276.

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ChatGPT is a cutting-edge language model that has been making waves in the field of natural language processing. However, its capabilities extend far beyond language-based applications. ChatGPT can also be used as a powerful tool for debugging software code. As software applications become increasingly complex, the need for efficient and accurate debugging tools has become more pressing. ChatGPT's ability to analyze and understand code makes it a promising solution to this challenge. Debugging is a critical part of the software development process. Bugs, or errors in code, can have serious con

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Chang, Ray-I., Chien-Wen Chiang, and Yu-Hsin Hung. "Grouping Sensors for the Key Distribution of Implicit Certificates in Wireless Sensor Networks." Electronics 12, no. 13 (2023): 2815. http://dx.doi.org/10.3390/electronics12132815.

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As sensor nodes communicate via wireless channels, information security is essential for wireless sensor networks. Efficient protection mechanisms to ensure data security among nodes are critical. This study developed the bi-directed grouping (top-down grouping (TDG) and bottom-up grouping (BUG)) methods. In this study, we propose a group-based key distribution method, “aggregator-based grouping” (ABG), which combines the advantages of TDG and BUG to address the security issues of nodes. It employs horizontal and vertical searches, which are based on breadth-first and aggregator searches, resp

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Karakaya, Suat, Gurkan Kucukyildiz, and Hasan Ocak. "A dynamic path planning method for wheeled mobile robots (Dyna-bug)." Global Journal of Computer Sciences: Theory and Research 7, no. 3 (2017): 123–28. http://dx.doi.org/10.18844/gjcs.v7i3.2791.

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Abstract  In this study, a hybrid path-planning scheme is presented. The main contribution of this paper is merging the static grid costs of the global map and the immediate environmental structure of the local map. The stationary condition of the map and the instant local goal is weighted by certain coefficients in order to determine the next move of the wheeled mobile robot (WMR). Thus, the cost function is defined in terms of the grid costs and the dynamic parameters. The main assumption is that the WMR on which this scheme is executed must be equipped with a field scanning sens

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Liang, Wentao, Lu Wang, Jialuo She, and Yuqing Liu. "Detecting Resource Release Bugs with Analogical Reasoning." Scientific Programming 2022 (February 7, 2022): 1–9. http://dx.doi.org/10.1155/2022/3518673.

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The resource release bugs are a common type of serious programming bug. However, it is hard to catch them by using static detection for the lacking of comprehensive prior knowledge about the release functions. In this paper, a resource release bug detection method is proposed by introducing analogical reasoning on word vectors. First, the functions of the target source code are encoded into word vectors by the word embedding technique in natural language processing. Second, a two-stage reasoning method is developed for automatically identifying unknown resource release functions according to a

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Hendri, Hendri. "Implementasi Chatbot Untuk Laporan Bug / Error Reporting Dengan Natural Languange Processing (Studi Kasus : CV. Solusi Prima)." Jurnal Processor 16, no. 2 (2021): 135. http://dx.doi.org/10.33998/processor.2021.16.2.1026.

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Pichkur, Yevhen. "Mining and distribution of flint by the tribes of Cucuteni-Trypillian community." VITA ANTIQUA 10 (December 20, 2018): 105–17. https://doi.org/10.37098/2519-4542-2018-1-10-105-117.

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Having quite a massive and diverse source of raw materials tribes of Cucuteni-Trypillian community begin its active exploitation and utilization already from the early stages of their existence and continue throughout all their following history. Flint industry of Cucuteni-Trypillian community centers around two main scenarios: extraction – processing – distribution and/or extraction – distribution – processing of flint materials. There were a few completely different ways of flint extraction. First one (opened) was the simplest, did not require spec

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40

Stepanov, Daniil, and Vladimir Itsykson. "Backend Bug Finder — a platform for effective compiler fuzzing." Information and Control Systems, no. 6 (December 27, 2022): 31–40. http://dx.doi.org/10.31799/1684-8853-2022-6-31-40.

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Introduction: The standard way to check the quality of a compiler is manual testing. However, it does not allow to cover a vast diversity of programs that can be written in a target programming language. Today, in addition to manual written tests there are many automated compiler testing methods, among which fuzzing is one of the most powerful and useful. A compiler fuzzer is a tool that generates a random program in a target language and checks how the compiler works in this language. Purpose: To develop a platform for compiler fuzzing and, based on it, to develop a tool for Kotlin compiler t

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Chen, Yuxi, Shu Wang, Shan Lu, and Karthikeyan Sankaralingam. "Applying Transactional Memory for Concurrency-Bug Failure Recovery in Production Runs." IEEE Transactions on Parallel and Distributed Systems 30, no. 5 (2019): 990–1006. http://dx.doi.org/10.1109/tpds.2018.2877656.

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Gyimesi, Péter. "Automatic Calculation of Process Metrics and their Bug Prediction Capabilities." Acta Cybernetica 23, no. 2 (2017): 537–59. http://dx.doi.org/10.14232/actacyb.23.2.2017.7.

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Identifying fault-prone code parts is useful for the developers to help reduce the time required for locating bugs. It is usually done by characterizing the already known bugs with certain kinds of metrics and building a predictive model from the data. For the characterization of bugs, software product and process metrics are the most popular ones. The calculation of product metrics is supported by many free and commercial software products. However, tools that are capable of computing process metrics are quite rare. In this study, we present a method of computing software process metrics in a

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Stephen Dass A. and Prabhu J. "Ameliorating the Privacy on Large Scale Aviation Dataset by Implementing MapReduce Multidimensional Hybrid k-Anonymization." International Journal of Web Portals 11, no. 2 (2019): 14–40. http://dx.doi.org/10.4018/ijwp.2019070102.

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In this fast growing data universe, data generation and data storage are moving into the next-generation process by generating petabytes and gigabytes in an hour. This leads to data accumulation where privacy and preservation are certainly misplaced. This data contains some sensitive and high privacy data which is to be hidden or removed using hashing or anonymization algorithms. In this article, the authors propose a hybrid k anonymity algorithm to handle large scale aircraft datasets with combined concepts of Big Data analytics and privacy preservation of storing the dataset with the help of

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Dai, Ting, Daniel Dean, Peipei Wang, Xiaohui Gu, and Shan Lu. "Hytrace: A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures." IEEE Transactions on Parallel and Distributed Systems 30, no. 1 (2019): 107–18. http://dx.doi.org/10.1109/tpds.2018.2858800.

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Hoffmann, Michael P., Frank G. Zalom, and L. Ted Wilson. "Evaluation of Insecticides for Control of Stink Bugs on Processing Tomatoes, 1986." Insecticide and Acaricide Tests 12, no. 1 (1987): 153. http://dx.doi.org/10.1093/iat/12.1.153.

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Abstract Tests were conducted in a commercial planting of processing tomatoes located near Davis, CA. The 4 insecticidal treatments were replicated 3 times in a randomized complete block design and were 15 ft wide (3 single row beds) and 500 ft long. Insecticides were applied at 15 psi and 20 gal water/acre on 29 Aug using a full-coverage tractor mounted boom sprayer. Insecticide efficacy was evaluated by recording the number of live stink bugs found by picking up and shaking tomato plants onto a 14 X 19 inch tray and by searching the soil beneath the tray to a depth of 1 to 2 inches. Twenty-f

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Pichkur, Yevhen. "Нові дані стосовно кременеобробного виробництва східнотрипільських племен Буго-Дніпровського межиріччя". VITA ANTIQUA 13 (9 грудня 2021): 113–28. https://doi.org/10.37098/VA-2021-13-113-128.

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<strong>New data on flint processing of East Trypillia tribes </strong><strong>of the Bug-Dnieper interfluve</strong> For the first time, materials of such settlements of the East Trypillia culture as Trostyanchyk, Onopriyivka І are published. Despite approximately the same quantitative ratio, even at first glance, the materials of these two leaflets differ significantly from each other. The Trostyanchyk complex is actually blade-type: blades prevail both among production waste and among the tool kit. Flakes and tools on them dominate in Onopriyivka. If the Trostyanchyk complex can be reg

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Rathnasuriya, Ravishka, Nidhi Majoju, Zihe Song, and Wei Yang. "An Investigation on Numerical Bugs in GPU Programs Towards Automated Bug Detection." Proceedings of the ACM on Software Engineering 2, ISSTA (2025): 1654–77. https://doi.org/10.1145/3728950.

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General-purpose graphics processing unit (GPU) computing has emerged as a leading parallel computing paradigm, offering significant performance gains in various domains such as scientific computing and deep learning. However, GPU programs are susceptible to numerical bugs, which can lead to incorrect results or crashes. These bugs are difficult to detect, debug, and fix due to their dependence on specific input values or types and the absence of reliable error-checking mechanisms and oracles. Additionally, the unique programming conventions of GPUs complicate identifying the root causes of bug

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Khalturin, M., A. Klymovets’kyi, and P. Shevchenko. "Ichthyofauna species diversity in multipurpose water bodies of the forest-steppe zone of Ukraine by river basins." Ribogospodarsʹka nauka Ukraïni., no. 2(60) (June 29, 2022): 3–15. http://dx.doi.org/10.15407/fsu2022.02.003.

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Purpose. To investigate fish fauna of multipurpose water bodies in the Forest-Steppe Zone of Ukraine in the basin of two rivers: South Bug (South Bug, Gnylyi Tikich), Dnipro (Dnipro, Ros, Desna rivers). To select equal water bodies based on their areas and degree of location relative to their main basin and compare these water bodies based on their similarity and typicality. Methodology. The collection of materials was carried out during 2010-2017 in multipurpose water bodies located in the forest-steppe zone of Ukraine in the basins of large rivers such as the Dnipro and the Southern Bug. Sam

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Kumaresh, Sakthi, and Ramachandran Baskaran. "Mining Software Repositories for Defect Categorization." Journal of Communications Software and Systems 11, no. 1 (2015): 31. http://dx.doi.org/10.24138/jcomss.v11i1.115.

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Early detection of software defects is very important to decrease the software cost and subsequently increase the software quality. Success of software industries not only depends on gaining knowledge about software defects, but largely reflects from the manner in which information about defect is collected and used. In software industries, individuals at different levels from customers to engineers apply diverse mechanisms to detect the allocation of defects to a particular class. Categorizing bugs based on their characteristics helps the Software Development team take appropriate actions to

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Singrihalli Hemaraj, Sheetal, Shylashree Nagaraja, Sunitha Yariyur Narasimhaiah, and Madhu Patil. "Design and development of frameworks for CPU verification efficiency improvement." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 3 (2023): 1361. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1361-1369.

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<p>Bug finding is a critical component of the verification flow and is resource intensive.In a typical week, a debug engineer writes triages, which take up significant amount of time that could be spent debugging another unique issue, and the lack of standardization in scripting causes maintainability issues in functional verification bug triage. A framework that allows customizable triage script generation is developed based on inputs from the engineer deploying YAML isn’t another markup language (YAML) files and practical extraction and report language (PERL) scripting, and this method

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