Characterizing the Complexity of Code Changes in Open Source Software

Anand, Adarsh; Bharmoria, S.; Ram, Mangey

doi:10.1201/9780429431630-1

Cited by 4 publications

(2 citation statements)

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“…Prediction modelling has been applied on open source software systems. A profit model is developed that determines the optimal profit by optimizing release and testing stop times and price by Anand and Ram (2019). This model proposes more investment in software testing leading to reliable system.…”

Section: Resultsmentioning

confidence: 99%

Quality and reliability studies in software defect management: a literature review

Pai¹,

Joshi

Rane

2021

IJQRM

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PurposeThis paper is focused at studying the current state of research involving the four dimensions of defect management strategy, i.e. software defect analysis, software quality, software reliability and software development cost/effort.Design/methodology/approachThe methodology developed by Kitchenham (2007) is followed in planning, conducting and reporting of the systematic review. Out of 625 research papers, nearly 100 primary studies related to our research domain are considered. The study attempted to find the various techniques, metrics, data sets and performance validation measures used by researchers.FindingsThe study revealed the need for integrating the four dimensions of defect management and studying its effect on software performance. This integrated approach can lead to optimal use of resources in software development process.Research limitations/implicationsThere are many dimensions in defect management studies. The authors have considered only vital few based on the practical experiences of software engineers. Most of the research work cited in this review used public data repositories to validate their methodology and there is a need to apply these research methods on real datasets from industry to realize the actual potential of these techniques.Originality/valueThe authors believe that this paper provides a comprehensive insight into the various aspects of state-of-the-art research in software defect management. The authors feel that this is the only research article that delves into the four facets namely software defect analysis, software quality, software reliability and software development cost/effort.

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Section: Resultsmentioning

confidence: 99%

Quality and reliability studies in software defect management: a literature review

Pai¹,

Joshi

Rane

2021

IJQRM

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“…Synonymous with the above-explained ideology, numerous articles are present in the literature on software reliability which deals with the joint involvement of users and testers in making the software more reliable [12]. The fact that operational phase of the software has been given required attention in estimating the overall reliability of the software, is thoroughly described by many [13]. Further, a lot of work has been done to incorporate the impact of testers and users in the modeling framework whose obtained results can be directly applied in the context of SDN Controllers as they are nothing but a kind of software programs dealing with network issues.…”

Section: Introductionmentioning

confidence: 99%

Software Reliability Growth Modelling Framework to Study SDN Controllers

Anand,

Gupta,

Chhipa

et al. 2023

Preprint

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SDN, as an emerging centralized network control platform, has been studied widely by many researchers. To make this complex and fine-grained network platform more reliable and secure, the need to understand its fault debugging pattern was observed. The testing phase of the software has undoubtedly been considered as a crucial phase that ensures high quality network architecture to its users. The pre-release testing activities are solely conducted by the testers where the debugging process after its release comprises both testers and users. The study of the joint role of testers and users has been devoid in the field of network systems. This paper methodically models the complete testing profile (before and after release) of the SDN Controller. The two-staged modeling process is utilized to model the detection and resolution of network faults after its release in which the joint debugging activities of testers and users are catered with the help of Stieltjes convolution. The two-stage model addresses the release point transition. The proposal has been validated on two real life failure data sets. The validation shows promising results.

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