Open Source Software Evolution

Chahal, Kuljit Kaur; Saini, Munish

doi:10.4018/ijossp.2016010101

Cited by 6 publications

(3 citation statements)

References 108 publications

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“…This paper is in continuation of a preceding one (Chahal and Saini, 2016) in which details of the review methodology for the systematic literature review are discussed. The preceding paper presents the review results related to OSS evolution analysis only (the first research question).…”

Section: Introductionmentioning

confidence: 93%

“…Next section describes the details of the studies answering the research questions numbered from two to nine (refer step 1 of the review process). A preceding paper (Chahal and Saini, 2016) presents the studies related to the research question numbered one.…”

Section: The Review Processmentioning

confidence: 99%

“…A systematic literature approach was followed to make the entire process free from bias (Chahal and Saini, 2016). An automated keyword search based policy helped to retrieve the relevant studies available in the electronic online libraries.…”

Section: Limitations Of the Studymentioning

confidence: 99%

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Open Source Software Evolution

Chahal

Saini

2016

International Journal of Open Source Software and Processes

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This paper presents the results of a systematic literature review conducted to understand the Open Source Software (OSS) development process on the basis of evidence found in the empirical research studies. The study targets the OSS project evolution research papers to understand the methods and techniques employed for analysing the OSS evolution process. Our results suggest that there is lack of a uniform approach to analyse and interpret the results. The use of prediction techniques that just extrapolate the historic trends into the future should be a conscious task as it is observed that there are no long-term correlations in data of such systems. OSS evolution as a research area is still in nascent stage. Even after a number of empirical studies, the field has failed to establish a theory. There is need to formalize the field as a systematic and formal approach can produce better software.

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Section: Introductionmentioning

confidence: 93%

Section: The Review Processmentioning

confidence: 99%

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Open Source Software Evolution

Chahal

Saini

2016

International Journal of Open Source Software and Processes

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A Systematic Mapping Study on Analysis of Code Repositories

Sayago-Heredia¹,

Pérez‐Castillo²,

Piattini³

2021

Informatica

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Code repositories contain valuable information, which can be extracted, processed and synthesized into valuable information. It enabled developers to improve maintenance, increase code quality and understand software evolution, among other insights. Certain research has been made during the last years in this field. This paper presents a systematic mapping study to find, evaluate and investigate the mechanisms, methods and techniques used for the analysis of information from code repositories that allow the understanding of the evolution of software. Through this mapping study, we have identified the main information used as input for the analysis of code repositories (commit data and source code), as well as the most common methods and techniques of analysis (empirical/experimental and automatic). We believe the conducted research is useful for developers working on software development projects and seeking to improve maintenance and understand the evolution of software through the use and analysis of code repositories.

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A Systematic Review of Attributes and Techniques for Open Source Software Evolution Analysis

Saini

Chahal

2018

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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Many studies have been conducted to understand the evolution process of Open Source Software (OSS). The researchers have used various techniques for understanding the OSS evolution process from different perspectives. This chapter reports a meta-data analysis of the systematic literature review on the topic in order to understand its current state and to identify opportunities for the future. This research identified 190 studies, selected against a set of questions, for discussion. It categorizes the research studies into nine categories. Based on the results obtained from the systematic review, there is evidence of a shift in the metrics and methods for OSS evolution analysis over the period of time. The results suggest that there is a lack of a uniform approach to analyzing and interpreting the results. There is need of more empirical work using a standard set of techniques and attributes to verify the phenomenon governing the OSS projects. This will help to advance the field and establish a theory of software evolution.

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Open Source Software Evolution

Cited by 6 publications

References 108 publications

Open Source Software Evolution

Open Source Software Evolution

A Systematic Mapping Study on Analysis of Code Repositories

A Systematic Review of Attributes and Techniques for Open Source Software Evolution Analysis

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