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Dissertations / Theses on the topic 'Software defect'

Author: Grafiati

Published: 30 May 2022

Last updated: 27 July 2025

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1

Ye, Xin. "Automated Software Defect Localization." Ohio University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1462374079.

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2

Jain, Achin. "Software defect content estimation: A Bayesian approach." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/26932.

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Software inspection is a method to detect errors in software artefacts early in the development cycle. At the end of the inspection process the inspectors need to make a decision whether the inspected artefact is of sufficient quality or not. Several methods have been proposed to assist in making this decision like capture recapture methods and Bayesian approach. In this study these methods have been analyzed and compared and a new Bayesian approach for software inspection is proposed. All of the estimation models rely on an underlying assumption that the inspectors are independent. However, t

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3

Hassan, Syed Karimuddin and Syed Muhammad. "Defect Detection in SRS using Requirement Defect Taxonomy." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5253.

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Context: Defects occurred in the SRS may cause problems in project due to implementation of poor requirements which require extra time, effort, resources and budget to complete it. Reading techniques i.e., checklist based reading (CBR) helps to guide reviewers in identifying defects in software requirement specification (SRS) during individual requirement inspections. Checklists contain potential defects/problems to look for, but often lack clear definitions with examples of the problem, and also their abstractions are different. Therefore, there is a need for identifying existing defects and

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4

Porto, Faimison Rodrigues. "Cross-project defect prediction with meta-Learning." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-21032018-163840/.

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Defect prediction models assist tester practitioners on prioritizing the most defect-prone parts of the software. The approach called Cross-Project Defect Prediction (CPDP) refers to the use of known external projects to compose the training set. This approach is useful when the amount of historical defect data of a company to compose the training set is inappropriate or insufficient. Although the principle is attractive, the predictive performance is a limiting factor. In recent years, several methods were proposed aiming at improving the predictive performance of CPDP models. However, to the

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5

Tran, Qui Can Cuong. "Empirical evaluation of defect identification indicators and defect prediction models." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2553.

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Context. Quality assurance plays a vital role in the software engineering development process. It can be considered as one of the activities, to observe the execution of software project to validate if it behaves as expected or not. Quality assurance activities contribute to the success of software project by reducing the risks of software’s quality. Accurate planning, launching and controlling quality assurance activities on time can help to improve the performance of software projects. However, quality assurance activities also consume time and cost. One of the reasons is that they may not f

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Sherwood, Patricia Ann. "Inspections : software development process for building defect free software applied in a small-scale software development environment /." Online version of thesis, 1990. http://hdl.handle.net/1850/10598.

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7

Hameed, Muhammad Muzaffar, and Muhammad Zeeshan ul Haq. "DefectoFix : An interactive defect fix logging tool." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5268.

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Despite the large efforts made during the development phase to produce fault free system, most of the software implementations still require the testing of entire system. The main problem in the software testing is the automation that could verify the system without manual intervention. Recent work in software testing is related to the automated fault injection by using fault models from repository. This requires a lot of efforts, which adds to the complexity of the system. To solve this issue, this thesis suggests DefectoFix framework. DefectoFix is an interactive defect fix logging tools tha

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8

Phaphoom, Nattakarn. "Pair Programming and Software Defects : A Case Study." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3513.

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Pair programming is a programming technique in which two programmers sit literally side by side working on the same task at the same computer. One member of a pair called “driver” is in charge of writing the code. The other member plays a role of “navigator”, working on the more strategic tasks, such as looking for tactical error, thinking about overall structure, and finding better alternatives. Pair programming is claimed to improve product quality, reduce defects, and shorten time to market. On the other hand, it has been criticized on cost efficiency. To increase a body of evidence regardi

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9

Akinwale, Olusegun. "DuoTracker tool support for software defect data collection and analysis /." abstract and full text PDF (free order & download UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1447633.

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10

Gray, David Philip Harry. "Software defect prediction using static code metrics : formulating a methodology." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/11067.

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Software defect prediction is motivated by the huge costs incurred as a result of software failures. In an effort to reduce these costs, researchers have been utilising software metrics to try and build predictive models capable of locating the most defect-prone parts of a system. These areas can then be subject to some form of further analysis, such as a manual code review. It is hoped that such defect predictors will enable software to be produced more cost effectively, and/or be of higher quality. In this dissertation I identify many data quality and methodological issues in previous defect

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11

Portnoy, William. "Distributable defect localization using Markov models /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/6883.

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12

Bowes, David Hutchinson. "Factors affecting the performance of trainable models for software defect prediction." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/10978.

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Context. Reports suggest that defects in code cost the US in excess of $50billion per year to put right. Defect Prediction is an important part of Software Engineering. It allows developers to prioritise the code that needs to be inspected when trying to reduce the number of defects in code. A small change in the number of defects found will have a significant impact on the cost of producing software. Aims. The aim of this dissertation is to investigate the factors which a ect the performance of defect prediction models. Identifying the causes of variation in the way that variables are compute

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13

Liljeson, Mattias, and Alexander Mohlin. "Software defect prediction using machine learning on test and source code metrics." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4162.

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Context. Software testing is the process of finding faults in software while executing it. The results of the testing are used to find and correct faults. Software defect prediction estimates where faults are likely to occur in source code. The results from the defect prediction can be used to opti- mize testing and ultimately improve software quality. Machine learning, that concerns computer programs learning from data, is used to build pre- diction models which then can be used to classify data. Objectives. In this study we, in collaboration with Ericsson, investigated whether software metri

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14

Shippey, Thomas Joshua. "Exploiting abstract syntax trees to locate software defects." Thesis, University of Hertfordshire, 2015. http://hdl.handle.net/2299/16365.

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Context. Software defect prediction aims to reduce the large costs involved with faults in a software system. A wide range of traditional software metrics have been evaluated as potential defect indicators. These traditional metrics are derived from the source code or from the software development process. Studies have shown that no metric clearly out performs another and identifying defect-prone code using traditional metrics has reached a performance ceiling. Less traditional metrics have been studied, with these metrics being derived from the natural language of the source code. These newer

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15

Mahmood, Zaheed. "An analysis of software defect prediction studies through reproducibility and replication." Thesis, University of Hertfordshire, 2018. http://hdl.handle.net/2299/20826.

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Context. Software defect prediction is essential in reducing software development costs and in helping companies save their reputation. Defect prediction uses mathematical models to identify patterns associated with defects within code. Resources spent reviewing the entire code can be minimised by focusing on defective parts of the code. Recent findings suggest many published prediction models may not be reliable. Critical scientific methods for identifying reliable research are Replication and Reproduction. Replication can test the external validity of studies while Reproduction can test thei

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16

Curhan, Lisa A. 1961. "Software defect tracking during new product development of a computer system." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34824.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2005.<br>Includes bibliographical references (p. 74-75).<br>Software defects (colloquially known as "bugs") have a major impact on the market acceptance and profitability of computer systems. Sun Microsystems markets both hardware and software for a wide variety of customer needs. The integration of hardware and software is a key core capability for Sun. Minimizing the quantity and impact of software defects on this integration during new product development is essential to execution of a timely and high-

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17

Isunza, Navarro Abgeiba Yaroslava. "Evaluation of Attention Mechanisms for Just-In-Time Software Defect Prediction." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288724.

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Just-In-Time Software Defect Prediction (JIT-DP) focuses on predicting errors in software at change-level with the objective of helping developers identify defects while the development process is still ongoing, and improving the quality of software applications. This work studies deep learning techniques by applying attention mechanisms that have been successful in, among others, Natural Language Processing (NLP) tasks. We introduce two networks named Convolutional Neural Network with Bidirectional Attention (BACNN) and Bidirectional Attention Code Network (BACoN) that employ a bi-directional

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18

Siahaan, Antony. "Defect correction based domain decomposition methods for some nonlinear problems." Thesis, University of Greenwich, 2011. http://gala.gre.ac.uk/7144/.

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Defect correction schemes as a class of nonoverlapping domain decomposition methods offer several advantages in the ways they split a complex problem into several subdomain problems with less complexity. The schemes need a nonlinear solver to take care of the residual at the interface. The adaptive-∝ solver can converge locally in the ∞-norm, where the sufficient condition requires a relatively small local neighbourhood and the problem must have a strongly diagonal dominant Jacobian matrix with a very small condition number. Yet its advantage can be of high signicance in the computational cost

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Land, Lesley Pek Wee Information Systems Technology &amp Management Australian School of Business UNSW. "Software group reviews and the impact of procedural roles on defect detection performance." Awarded by:University of New South Wales. School of Information Systems, Technology and Management, 2000. http://handle.unsw.edu.au/1959.4/21838.

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Software reviews (inspections) have received widespread attention for ensuring the quality of software, by finding and repairing defects in software products. A typical review process consists of two stages critical for defect detection: individual review followed by group review. This thesis addresses two attributes to improve our understanding of the task model: (1) the need for review meetings, and (2) the use of roles in meetings. The controversy of review meeting effectiveness has been consistently raised in the literature. Proponents maintain that the review meeting is the crux of the re

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20

DUTTA, BINAMRA. "Enterprise Software Metrics: How To Add Business Value." Kent State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=kent1239239432.

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21

Sun, Boya. "PRECISION IMPROVEMENT AND COST REDUCTION FOR DEFECT MINING AND TESTING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1321827962.

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22

Kasianenko, Stanislav. "Predicting Software Defectiveness by Mining Software Repositories." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78729.

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One of the important aims of the continuous software development process is to localize and remove all existing program bugs as fast as possible. Such goal is highly related to software engineering and defectiveness estimation. Many big companies started to store source code in software repositories as the later grew in popularity. These repositories usually include static source code as well as detailed data for defects in software units. This allows analyzing all the data without interrupting programing process. The main problem of large, complex software is impossibility to control everythi

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23

Saxena, Kaustubh. "Investigation of the Effect of the Number of Inspectors on the Software Defect Estimates." Thesis, North Dakota State University, 2012. https://hdl.handle.net/10365/26714.

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Capture-recapture models help software managers by providing post-inspection defect estimate remaining in a software artifact to determine if a re-inspection in necessary. These estimates are calculated using the number of unique faults per inspector and the overlap of faults found by inspectors during an inspection cycle. A common belief is that the accuracy of the capture-recapture estimates improves with the inspection team size. This however, has not been empirically studied. This paper empirically investigates the effect of the number of inspectors on the estimates produced by capture-rec

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24

Kristiansen, Jan Maximilian Winther. "Software Defect Analysis : An Empirical Study of Causes and Costs in the Information Technology Industry." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11120.

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The area of software defects is not thoroughly studied in current research, even though it is estimated to be one of the most expensive topics in industries. Hence, certain researchers characterise the lack of research as a scandal within software engineering. Little research has been performed in investigating the root causes of defects, even thought we have classification schemes which aims to classify the what, where and why regarding software defects. We want to investigate the root causes of software defects through both qualitative and quantitative methods.We collected defect reports fro

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25

Vandehei, Bailey R. "Leveraging Defects Life-Cycle for Labeling Defective Classes." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2111.

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Data from software repositories are a very useful asset to building dierent kinds of models and recommender systems aimed to support software developers. Specically, the identication of likely defect-prone les (i.e., classes in Object-Oriented systems) helps in prioritizing, testing, and analysis activities. This work focuses on automated methods for labeling a class in a version as defective or not. The most used methods for automated class labeling belong to the SZZ family and fail in various circum- stances. Thus, recent studies suggest the use of aect version (AV) as provided by developers

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26

Ouyang, Sheng. "The effect of amount of software reuse on defect severity in real-time C-base environment." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0015/MQ55266.pdf.

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27

Shams, Zalia. "Automated Assessment of Student-written Tests Based on Defect-detection Capability." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52024.

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Software testing is important, but judging whether a set of software tests is effective is difficult. This problem also appears in the classroom as educators more frequently include software testing activities in programming assignments. The most common measures used to assess student-written software tests are coverage criteria—tracking how much of the student’s code (in terms of statements, or branches) is exercised by the corresponding tests. However, coverage criteria have limitations and sometimes overestimate the true quality of the tests. This dissertation investigates alternative measu

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Wilkerson, Jerod W. "Closing the Defect Reduction Gap between Software Inspection and Test-Driven Development: Applying Mutation Analysis to Iterative, Test-First Programming." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195160.

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The main objective of this dissertation is to assist in reducing the chaotic state of the software engineering discipline by providing insights into both the effectiveness of software defect reduction methods and ways these methods can be improved. The dissertation is divided into two main parts. The first is a quasi-experiment comparing the software defect rates and initial development costs of two methods of software defect reduction: software inspection and test-driven development (TDD). Participants, consisting of computer science students at the University of Arizona, were divided into

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Yilmaz, Gokcen. "An Automated Defect Detection Approach For Cosmic Functional Size Measurement Method." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614646/index.pdf.

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Software size measurement provides a basis for software project management and plays an important role for its activities such as project management estimations, process benchmarking, and quality control. As size can be measured with functional size measurement (FSM) methods in the early phases of the software projects, functionality is one of the most frequently used metric. On the other hand, FSMs are being criticized by being subjective. The main aim of this thesis is increasing the accuracy of the measurements, by decreasing the number of defects concerning FSMs that are measured by COSM

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CHANG, RAY-YAUNG. "Discovering Neglected Conditions in Software by Mining Program Dependence Graphs." Case Western Reserve University School of Graduate Studies / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1218722056.

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31

Sargut, Kamil Umut. "Application Of Statistical Process Control To Software Development Processes Via Control Charts." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1270081/index.pdf.

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The application of Statistical Process Control (SPC) to software processes has been a challenging issue for software engineers and researchers. Although SPC is suggested for providing process control and achieving higher process maturity levels, there are very few resources that describe success stories, implementation details, and implemented guidelines for applying SPC to specific metrics. In this thesis the findings of a case study that is performed for investigating the applicability of SPC to software metrics in an emergent CMM Level 3 software organization are presented. As being one of

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Bhatti, Khurram, and Ahmad Nauman Ghazi. "Effectiveness of Exploratory Testing, An empirical scrutiny of the challenges and factors affecting the defect detection efficiency." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5456.

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Context: Software testing is an integral part of software development life cycle. To improve the quality of software there are different testing approaches practiced over the years. Traditionally software testing is carried out by following approach focusing on prior test design. While exploratory testing is an approach to test software where the tester does not require to follow a specific test design. But rather, exploratory testing should facilitate the tester in testing the complete system comprehensively. Exploratory testing is seen by some, as a way to conduct simultaneous learning, test

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Sivrioglu, Damla. "A Method For Product Defectiveness Prediction With Process Enactment Data In A Small Software Organization." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614516/index.pdf.

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As a part of the quality management, product defectiveness prediction is vital for small software organizations as for instutional ones. Although for defect prediction there have been conducted a lot of studies, process enactment data cannot be used because of the difficulty of collection. Additionally, there is no proposed approach known in general for the analysis of process enactment data in software engineering. In this study, we developed a method to show the applicability of process enactment data for defect prediction and answered &ldquo<br>Is process enactment data beneficial for defec

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Kučera, Filip. "Softwarové ovládací prostředí pro měřicí metodu LBIC." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218413.

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This thesis is focused on one of the diagnostic methods of fotovoltaic cells the LBIC (Light Beam Induced Current) method and the experimental measurement set-up for this method, which is operated by the Department of Electrical and Electronic Technology in Brno. The principle of photovoltaic cells function, the possibly used material and the problems usually encountred during production are described in this work,. There is also a review of methods that can be used to detect defects in photovoltaic cells. The main part is devoted to the proposal of a new experimental set-up for the measuring

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Руденко, Александр Антонович. "Вероятностные модели и методы оценивания надежности программных средств с учетом вторичных дефектов". Thesis, Полтавский национальный технический университет им. Ю. Кондратюка, 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/19065.

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Диссертация на соискание ученой степени кандидата технических наук по специальности 05.13.06 – информационные технологии – Национальный технический университет "Харьковский политехнический институт", Харьков, 2015. Диссертация посвящена разработке моделей, методов оценки надежности программно-технических комплексов, информационной технологии на основе учета внесения вторичных дефектов. Как показывает проведенный анализ, необходимость обеспечения точности оценки надежности программного обеспечения обуславливает актуальность научных исследований, посвященных разработке и совершенствованию мето

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Руденко, Олександр Антонович. "Імовірнісні моделі та методи оцінювання надійності програмних засобів з урахуванням вторинних дефектів". Thesis, ТОВ "Фірма "Техсервіс", 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/19064.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.06 – інформаційні технології – Національний технічний університет "Харківський політехнічний інститут", Харків, 2015. Дисертація присвячена розробці моделей, методів оцінювання надійності програмно-технічних комплексів, інформаційної технології на основі врахування внесення вторинних дефектів. Науковими результатами є: удосконалення імовірнісних моделей оцінки надійності програмних засобів на основі врахування параметрів вторинних дефектів шляхом модифікації функцій ризику цих моделей, що дозволяє адекват

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Moriggl, Irene. "Intelligent Code Inspection using Static Code Features : An approach for Java." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4149.

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Effective defect detection is still a hot issue when it comes to software quality assurance. Static source code analysis plays thereby an important role, since it offers the possibility for automated defect detection in early stages of the development. As detecting defects can be seen as a classification problem, machine learning is recently investigated to be used for this purpose. This study presents a new model for automated defect detection by means of machine learn- ers based on static Java code features. The model comprises the extraction of necessary features as well as the application

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Sundström, Alex. "Investigation into predicting unit test failure using syntactic source code features." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233382.

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In this thesis the application of software defect prediction to predict unit test failure is investigated. Data for this purpose was collected from a Continuous Integration development environment. Experiments were performed using semantic features from the source code. As the data was imbalanced with defective samples being in minority different degrees of oversampling were also evaluated. The data collection process revealed that even though several different code commits were available few ever failed a unit test. Difficulties with linking a failure to a specific file were also encountered.

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CAVALCANTI, Diego Tavares. "Estudo do uso de vocabulários para analisar o impacto de relatórios de defeitos a código-fonte." Universidade Federal de Campina Grande, 2012. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1839.

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Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-09-28T14:01:43Z No. of bitstreams: 1 DIEGO TAVARES CAVALCANTI - DISSERTAÇÃO PPGCC 2012..pdf: 11733349 bytes, checksum: 59909ce95d6ea71dea6e9686d3d20c33 (MD5)<br>Made available in DSpace on 2018-09-28T14:01:43Z (GMT). No. of bitstreams: 1 DIEGO TAVARES CAVALCANTI - DISSERTAÇÃO PPGCC 2012..pdf: 11733349 bytes, checksum: 59909ce95d6ea71dea6e9686d3d20c33 (MD5) Previous issue date: 2012-11-26<br>Localizar e corrigir defeitos são tarefas comuns no processo de manutenção de software. Entretanto, a atividade de localizar entidades

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OLIVEIRA, Paulo César de. "Abordagem semi-supervisionada para detecção de módulos de software defeituosos." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/19990.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-07-24T12:11:04Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Dissertação Mestrado Paulo César de Oliveira.pdf: 2358509 bytes, checksum: 36436ca63e0a8098c05718bbee92d36e (MD5)<br>Made available in DSpace on 2017-07-24T12:11:04Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Dissertação Mestrado Paulo César de Oliveira.pdf: 2358509 bytes, checksum: 36436ca63e0a8098c05718bbee92d36e (MD5) Previous issue date: 2015-08-3

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Marín, Campusano Beatriz Mariela. "Functional Size Measurement and Model Verification for Software Model-Driven Developments: A COSMIC-based Approach." Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/11237.

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Historically, software production methods and tools have a unique goal: to produce high quality software. Since the goal of Model-Driven Development (MDD) methods is no different, MDD methods have emerged to take advantage of the benefits of using conceptual models to produce high quality software. In such MDD contexts, conceptual models are used as input to automatically generate final applications. Thus, we advocate that there is a relation between the quality of the final software product and the quality of the models used to generate it. The quality of conceptual models can be influ

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Mahmood, Waqas, and Muhammad Faheem Akhtar. "Validation of Machine Learning and Visualization based Static Code Analysis Technique." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4347.

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Software security has always been an afterthought in software development which results into insecure software. Companies rely on penetration testing for detecting security vulnerabilities in their software. However, incorporating security at early stage of development reduces cost and overhead. Static code analysis can be applied at implementation phase of software development life cycle. Applying machine learning and visualization for static code analysis is a novel idea. Technique can learn patterns by normalized compression distance NCD and classify source code into correct or faulty usage

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Ahmed, Israr, and Shahid Nadeem. "Minimizing Defects Originating from Elicitation, Analysis and Negotiation (E and A&N) Phase in Bespoke Requirements Engineering." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4070.

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Defect prevention (DP) in early stages of software development life cycle (SDLC) is very cost effective than in later stages. The requirements elicitation and analysis & negotiation (E and A&N) phases in requirements engineering (RE) process are very critical and are major source of requirements defects. A poor E and A&N process may lead to a software requirements specifications (SRS) full of defects like missing, ambiguous, inconsistent, misunderstood, and incomplete requirements. If these defects are identified and fixed in later stages of SDLC then they could cause major rework

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PERES, Glaucia Boudox. "A black-box testing technique for the detection of crashes based on automated test scenarios." Universidade Federal de Pernambuco, 2009. https://repositorio.ufpe.br/handle/123456789/2366.

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Made available in DSpace on 2014-06-12T15:57:23Z (GMT). No. of bitstreams: 2 arquivo3187_1.pdf: 2434276 bytes, checksum: df6b126c4802eed8524aba0d3cb25af9 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2009<br>Boudox Peres, Glaucia; Cabral Mota, Alexandre. A black-box testing technique for the detection of crashes based on automated test scenarios. 2009. Dissertação (Mestrado). Programa de Pós-Graduação em Ciência da Computação, Universidade Federal de Pernambuco, Recife, 2009.

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Řezníček, Martin. "Inovace měřicího pracoviště pro měření solárních článků." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217979.

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The master‘s thesis is focused on the modification of measurement workplace for solar cells. In the first part of the thesis are introduced general problems of the solar energy and possible use in the international power supply, the details about the photovoltaic effect, processing of solar cells and their subsequent parameters. More further in the text the autor is concerned with causes of solar cells defects formation and representation of the most important defects. For defects detection are known the detection methods of solar cells, which are generally described in the text. The second pa

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Faustová, Tereza. "Nástroje na podporu testování." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-11762.

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The topic of this thesis is the issue of software testing. The thesis places main emphasis on tools to support test management, manual and automated functional testing and last but not least the tools for defect tracking. The aim of this thesis is introduce readers with software testing, especially with tools that can be used to support testing. The aim is offer an overview of the basic commercial and freely distributed tools for test management, manual testing, automated functional testing and defect tracking. Another aim is design criteria that simplify selection of tool. The second aim of t

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Wang, Hui. "Software Defects Classification Prediction Based On Mining Software Repository." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-216554.

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An important goal during the cycle of software development is to find and fix existing defects as early as possible. This has much to do with software defects prediction and management. Nowadays,many big software development companies have their own development repository, which typically includes a version control system and a bug tracking system. This has no doubt proved useful for software defects prediction. Since the 1990s researchers have been mining software repository to get a deeper understanding of the data. As a result they have come up with some software defects prediction models

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Nakamura, Taiga. "Recurring software defects in high end computing." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7217.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Hickman, Björn, and Victor Holmqvist. "Predict future software defects through machine learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301864.

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The thesis aims to investigate the implications of software defect predictions through machine learning on project management. In addition, the study aims to examine what features of a code base that are useful for making such predictions. The features examined are of both organisational and technical nature, indicated to correlate with the introductions of software defects by previous studies. The machine learning algorithms used in the study are Random forest, logistic regression and naive Bayes. The data was collected from an open source git-repository, VSCode, where the correct classificat

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Zheng, Xue Lin. "A Framework for Early Detection of Requirements Defects." Thesis, Griffith University, 2008. http://hdl.handle.net/10072/366377.

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This thesis is about early detection of requirements defects. Software-centred systems’ defects can cause loss of life, loss of property, loss of data and economic losses. Requirements defects are a major source of system defects. The early detection of requirements defects prevents software-centred systems’ defects, and thus reduces the various types of losses. In the past thirty years, many methods have been developed to detect requirements defects. The most prominent methods include inspections, automated static analysis, simulation, formal specifications and more recently model-checking. E

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