Academic literature on the topic 'Halstead metrics'

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Journal articles on the topic "Halstead metrics"

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Khan, Bilal, and Aamer Nadeem. "Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction." PeerJ Computer Science 9 (November 27, 2023): e1647. http://dx.doi.org/10.7717/peerj-cs.1647.

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The occurrence of faults in software systems represents an inevitable predicament. Testing is the most common means to detect such faults; however, exhaustive testing is not feasible for any nontrivial system. Software fault prediction (SFP), which identifies software components that are more prone to errors, seeks to supplement the testing process. Thus, testing efforts can be focused on such modules. Various approaches exist for SFP, with machine learning (ML) emerging as the prevailing methodology. ML-based SFP relies on a wide range of metrics, ranging from file-level and class-level to me
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Horobets, Yuliia, and Marek Miłosz. "The concept, models and metrics of software quality – an overview." Journal of Computer Sciences Institute 4 (September 30, 2017): 92–98. http://dx.doi.org/10.35784/jcsi.600.

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The article presents analysis of existing models and metrics measurement and software quality assessment. For comparison were chosen following models of software quality: McCall, Boehm, Boeing, FURPS, Dormey, ISO / IEC 9126, ISO / IEC 25000: 2005 and software metrics: SLOC, McCabe, Halstead.
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Bozó, István, Zoran Budimac, Smiljana Knežev, Gordana Rakić, and Melinda Tóth. "Evaluation of a recursion aware complexity metric." Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae. Sectio computatorica 57 (2024): 201–18. https://doi.org/10.71352/ac.57.201.

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Software metrics are heavily used to measure the complexity, readability, understandability, and maintainability of the source code. However, the accuracy of these metrics could be improved by considering different new aspects. In our previous research, we have introduced the Overall Path Complexity metric that takes into account recursion during the calculation of the metrics. The metric was integrated into the RefactorErl tool and evaluated for the functional programming language, Erlang. It was found that the OPC looked into new information that had not been evaluated before. In this paper,
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Balogun, Ghaniyyat Bolanle, Muhideen Abdulraheem, Peter Ogirima Sadiku, Olawale Debo Taofeek, and Adebisi Adewale. "Halstead’s Complexity Measure of a Merge sort and Modified Merge sort Algorithms." Jambura Journal of Informatics 5, no. 2 (2023): 141–51. http://dx.doi.org/10.37905/jji.v5i2.21995.

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Complexity measuring tools in computer science are deployed to measure and compare different characteristics of algorithms in order to find the best one in solving a particular problem or that suits a particular situation. In view of this, Halstead’s complexity metrics is deployed to compare the efficiency of two external sorting methods; the Merge sort and the Modified Merge sort algorithms. The methodology used in achieving this, lies in the extraction of operators and operands from the C_sharp (C#) implemented program of the two algorithms. Six Halstead metrics are evaluated using these ope
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Krishna, K. V., and K. V. Ganesh. "An Assessment of Halstead Metrics on Health Management Software." Sun International Journal of Engineering and Basic Sciences 02, no. 03 (2019): 24–28. http://dx.doi.org/10.30558/ijebs.20190203001.

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Naveed, Muhammad Shumail. "Comparison of C++ and Java in Implementing Introductory Programming Algorithms." Quaid-e-Awam University Research Journal of Engineering Science & Technology 19, no. 1 (2021): 95–103. http://dx.doi.org/10.52584/qrj.1901.14.

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Computer programming is the heart of computer science and C++ and Java are the most popular and widely used languages. The performance of C++ and Java programming languages has been benchmarked using robotics, numerical, genetic and evolutionary algorithms, but not using introductory programming algorithms. This article examined C++ and Java by analysing the implementation of novice algorithms of introductory programming courses by evaluating the difficulty, effort, time and delivered bugs of programs with Halstead software metrics. The study identified that Java is more difficult than C++ in
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Maina, Nevy Kimani, Geoffrey Muchiri Muketha, and Geoffrey Mariga Wambugu. "A Literature Survey of Complexity Metrics for Object-Oriented Programs." International Journal of Science and Engineering Applications 11, no. 05 (2022): 66–71. http://dx.doi.org/10.7753/ijsea1105.1003.

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Software complexity refers to the factors that determine the complexity level of a software project. High complexity is caused by the many attributes used in the system and the complex logic relationships among these attributes and features. The increased complexity of software is undesirable and affects maintenance. Over the years, Software Engineering scholars recommended several metrics like Halstead metric, cyclomatic complexity, and line of code metrics to deal with the complexity. With the complexity increasing as time goes by, there is a need for better metrics that can evaluate softwar
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Korznikov, Artem O., and Natalya N. Datsun. "Program Realization for Code Metrics Calculation in Object-Oriented Programming Language." Вестник Пермского университета. Математика. Механика. Информатика, no. 3 (62) (2023): 76–84. http://dx.doi.org/10.17072/1993-0550-2023-3-76-84.

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All groups of software product lifecycle processes executed by developers are complicated to implement. The code generation possibility and a requirement of evaluation for each participant contri-bution in case of teamwork also should be considered. A quantitative estimation for various aspects of software is proposed by code metrics calculation. The work purpose is development of a program for calculating the metrics of a software product for various object-oriented programming languages. The tasks are development of metrics exploitation approaches for evaluating and comparing code and imple-
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Onyango, Kevin, Jackson Kamiri, and Geoffrey Muketha. "A comparative study of the lexicographical complexity of Java, Python and C languages based on program characteristics." Journal of Innovation, Technology and Sustainability 1, no. 1 (2023): 42–67. https://doi.org/10.70868/rpgb7573.

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In software engineering, software complexity measures how complicated it is to design, test, maintain, and comprehend a system or a program. Metrics have been appreciated over time as a measure of various attributes of software products. Some of the most well-known languages for scientific, object-oriented, and imperative programming are Python, Java, and C, respectively. However, it is not easy to distinguish the structural complexity of these programming languages and the existing studies have overlooked this issue. This study, therefore, uses a technique based on Halstead Software Science t
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Arnould, Arthur, Rita Hendricusdottir, and Jeroen Bergmann. "The Complexity of Medical Device Regulations Has Increased, as Assessed through Data-Driven Techniques." Prosthesis 3, no. 4 (2021): 314–30. http://dx.doi.org/10.3390/prosthesis3040029.

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Medical device regulations are dynamic, as they need to cover an ever changing landscape. In Europe this has led to a new set of regulations (both for Medical Devices and In Vitro Diagnostics), which replaced the old rules. This study is interested in how the complexity of these medical regulations changed over time and if additional time-based metrics can be associated with any of the complexity metrics. Complexity is defined in terms of readability of the text and it is computed using established linguistic measures, as well as Halstead complexity scores. It was shown that the regulatory com
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Dissertations / Theses on the topic "Halstead metrics"

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Herzig, Paul M. "AdaMeasure: an implementation of the Halstead and Henry metrics." Thesis, 1987. http://hdl.handle.net/10945/22594.

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Books on the topic "Halstead metrics"

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Herzig, Paul M. AdaMeasure: An implementation of the Halstead and Henry metrics. 1987.

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Series, Michigan Historical Reprint. Metrical geometry. An elementary treatise on mensuration, by George Bruce Halsted. Scholarly Publishing Office, University of Michigan Library, 2005.

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Book chapters on the topic "Halstead metrics"

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Sehgal, Rajni, Deepti Mehrotra, and Renuka Nagpal. "Early Reliability Prediction Model Integrating Halstead’s Metrics and Fuzzy Usage." In Services and Business Process Reengineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2455-4_6.

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Tóth, Zoltán. "Applying and Evaluating Halstead’s Complexity Metrics and Maintainability Index for RPG." In Computational Science and Its Applications – ICCSA 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62404-4_43.

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Bowen, Paul L., Fiona H. Rohde, and Jay Basford. "Ex Ante Evaluations of Alternate Data Structures for End User Queries." In End-User Computing. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-945-8.ch142.

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The data structure of an information system can significantly impact the ability of end users to efficiently and effectively retrieve the information they need. This research develops a methodology for evaluating, ex ante, the relative desirability of alternative data structures for end user queries. This research theorizes that the data structure that yields the lowest weighted average complexity for a representative sample of information requests is the most desirable data structure for end user queries. The theory was tested in an experiment that compared queries from two different relation
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Laidler, Keith J. "Promises And Problems." In Derivation and Validation of Software Metrics. Oxford University PressOxford, 1993. http://dx.doi.org/10.1093/oso/9780198538424.003.0003.

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Abstract This chapter examines the metrics of the Software Science model, cyclamate complexity, and information flow in more detail. These are selected on the basis of their popularity within the software engineering literature, and the significance of the claims made by their progenitors. Claimed benefits are summarized. Each metric is then made the subject of an in–depth critique and all are found wanting. The important point made by this chapter is that this is not due to mischance, but is indicative of deeper problems of methodology employed in the field of software metrics. The preceding
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"Halstead's Metrics: Analysis of Their Designs." In Software Metrics and Software Metrology. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470606834.ch7.

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Conference papers on the topic "Halstead metrics"

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Binanto, Iwan, Harco Leslie Hendric Spits Warnars, Bahtiar Saleh Abbas, and Nesti Fronika Sianipar. "Automation Processing Halstead Metrics Application's Results." In 2018 Indonesian Association for Pattern Recognition International Conference (INAPR). IEEE, 2018. http://dx.doi.org/10.1109/inapr.2018.8627001.

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Hariprasad, T., G. Vidhyagaran, K. Seenu, and Chandrasegar Thirumalai. "Software complexity analysis using halstead metrics." In 2017 International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2017. http://dx.doi.org/10.1109/icoei.2017.8300883.

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Chang, Zhong, RongGang Song, and Yan Sun. "Validating Halstead Metrics for Scratch Program Using Process Data." In 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW). IEEE, 2018. http://dx.doi.org/10.1109/icce-china.2018.8448607.

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Madhan, M., I. Dhivakar, T. Anbuarasan, and Chandrasegar Thirumalai. "Analyzing complexity nature inspired optimization algorithms using halstead metrics." In 2017 International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2017. http://dx.doi.org/10.1109/icoei.2017.8300875.

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Alfadel, Mahmoud, Armin Kobilica, and Jameleddine Hassine. "Evaluation of Halstead and Cyclomatic Complexity Metrics in Measuring Defect Density." In 2017 9th IEEE-GCC Conference and Exhibition (GCCCE). IEEE, 2017. http://dx.doi.org/10.1109/ieeegcc.2017.8447959.

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Faé, Leonardo Gibrowski, and Dalvan Griebler. "An internal domain-specific language for expressing linear pipelines: a proof-of-concept with MPI in Rust." In Simpósio Brasileiro de Linguagens de Programação. Sociedade Brasileira de Computação, 2024. http://dx.doi.org/10.5753/sblp.2024.3691.

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Parallel computation is necessary in order to process massive volumes of data in a timely manner. There are many parallel programming interfaces and environments, each with their own idiosyncrasies. This, alongside non-deterministic errors, make parallel programs notoriously challenging to write. Great effort has been put forth to make parallel programming for several environments easier. In this work, we propose a DSL for Rust, using the language’s source-to-source transformation facilities, that allows for automatic code generation for distributed environments that support the Message Passin
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Binanto, Iwan, Harco Leslie Hendric Spits Warnars, Bahtiar Saleh Abbas, and Nesti Fronika Sianipar. "Halstead Metric for Quality Measurement of Various Version of Statcato." In 2018 5th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE). IEEE, 2018. http://dx.doi.org/10.1109/icitacee.2018.8576972.

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