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Erschienen in:
Comparison of OSS Reliability Assessment Methods by Using Wiener Data Preprocessing Based on Deep Learning Kapitel lesen Erstes Kapitel lesen

2024 | OriginalPaper | Buchkapitel

Exploring Software Systems Engineering Through Complexity of Code Changes: A Study Based on Bugs Count, Features Improvement and New Add-Ons

verfasst von : Asha Yadav, Ompal Singh, Adarsh Anand, Raksha Verma, Indarpal Singh

Erschienen in: Reliability Engineering for Industrial Processes

Verlag: Springer Nature Switzerland

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Abstract

While studying the reliability of software systems, the phenomenon to address the complexity of the code change process must be considered. The reasons behind this complexity in the code can either be bug removal phenomenon, new feature addition, or feature improvements, to name a few. Keeping in mind, the need to measure the complexity of the code changes, the authors have developed a modeling framework with an assumption that at any given time point, the complexity of code changes is impacted by at least any one of the above-specified attributes. To validate this developed framework, the authors have utilized certain open-source data sets and have presented their applicability using the SPSS software package. The obtained results are in line with the presented modeling framework.

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Metadaten
Titel
Exploring Software Systems Engineering Through Complexity of Code Changes: A Study Based on Bugs Count, Features Improvement and New Add-Ons
verfasst von
Asha Yadav
Ompal Singh
Adarsh Anand
Raksha Verma
Indarpal Singh
Copyright-Jahr
2024
Buch
Reliability Engineering for Industrial Processes

Print ISBN: 978-3-031-55047-8

Electronic ISBN: 978-3-031-55048-5

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-55048-5_5

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