Mining CVS repositories, the softChange experience

Germán, Daniel M.

doi:10.1049/ic:20040469

Cited by 62 publications

(52 citation statements)

References 6 publications

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“…Researchers are particularly interested in different definitions of a point of change. German [6] studied the characteristics of a Modification request (MR). A group of files is considered to be in the same MR if they have the same creator, same log, and over a given period of time (calculated in [6]).…”

Section: Related Workmentioning

confidence: 99%

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What's a Typical Commit? A Characterization of Open Source Software Repositories

Alali

Kagdi

Maletic

2008

2008 16th IEEE International Conference on Program Comprehension

114

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Section: Related Workmentioning

confidence: 99%

“…German [6] studied the characteristics of a Modification request (MR). A group of files is considered to be in the same MR if they have the same creator, same log, and over a given period of time (calculated in [6]). Some main observations were that bugMRs contain few files and commentMRs contain a large number of files.…”

Section: Related Workmentioning

confidence: 99%

What's a Typical Commit? A Characterization of Open Source Software Repositories

Alali

Kagdi

Maletic

2008

2008 16th IEEE International Conference on Program Comprehension

114

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show abstract

“…The majority of the studies dealing with identifying coupled changes use some kind of data mining for this purpose (German, 2004;Hattori et al, 2008;Kagdi, Yusuf & Maletic, 2006;Shirabad, Lethbridge & Matwin, 2003;Van Rysselberghe & Demeyer, 2004;Ying et al, 2004;Zimmermann et al, 2004). Especially the association rules technique is often used to identify frequent changes (Kagdi, Yusuf & Maletic, 2006;Ying et al, 2004;Zimmermann et al, 2004).…”

Section: Related Workmentioning

confidence: 99%

Are suggestions from coupled file changes useful for perfective maintenance tasks?

Ramadani

Wagner

2017

PeerJ Computer Science

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Background. Software maintenance is an important activity in the development process where maintenance team members leave and new members join over time. The identification of files which are changed together frequently has been proposed several times. Yet, existing studies about coupled file changes ignore the feedback from developers as well as the impact of these changes on the performance of maintenance and rather these studies rely on the analysis findings and expert evaluation. Methods. We investigate the usefulness of coupled file changes during perfective maintenance tasks when developers are inexperienced in programming or when they were new on the project. Using data mining on software repositories we identify files that are changed most frequently together in the past. We extract coupled file changes from the Git repository of a Java software system and join them with corresponding attributes from the versioning and issue tracking system and the project documentation. We present a controlled experiment involving 36 student participants in which we investigate if coupled file change suggestions influence the correctness of the task solutions and the required time to complete them. Results. The results show that the use of coupled file change suggestions significantly increases the correctness of the solutions. However, there is only a minor effect on the time required to complete the perfective maintenance tasks. We also derived a set of the most useful attributes based on the developers' feedback. Discussion. Coupled file changes and a limited number of the proposed attributes are useful for inexperienced developers working on perfective maintenance tasks where although the developers using these suggestions solved more tasks, they still need time to understand and organize this information.

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“…Various studies use some kind of data mining to investigate software repositories [14], [18], [21], [37], [41], [45], [47]. However, they do not include the developers' feedback on their findings.…”

Section: Related Workmentioning

confidence: 99%

How Do Coupled File Changes Influence How Developers Seek Help During Maintenance Tasks?

Ramadani

Wagner

2017

2017 IEEE International Conference on Software Quality, Reliability and Security (QRS)

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Abstract-Software repositories contain a lot of information that can be transformed into suggestions other files they need to modify during maintenance tasks (so-called "coupled changes"). Existing studies however ignore developer feedback and their influence on the developer strategy for getting help during maintenance tasks. We used the Grounded Theory approach to investigate screen capture videos from an experiment to find which information sources developers use to find help and what is their relevance. We compared the frequency as well as the sequence patterns of used information sources both for the developers using coupled change suggestions and those not using them. We found a set of information sources where the developers seek for help and identified two categories of relevance. Also, we discovered that for the tasks using coupled change suggestions, the developers used mostly the internal IDE elements as an information source whereby the developers not using coupled change suggestions often used external sources like the documentation or the web. Coupled change suggestions influence the strategy how the developers seek for help by reducing the search for information on external locations which makes the process of solving maintenance tasks more compact.

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Mining CVS repositories, the softChange experience

Cited by 62 publications

References 6 publications

What's a Typical Commit? A Characterization of Open Source Software Repositories

What's a Typical Commit? A Characterization of Open Source Software Repositories

Are suggestions from coupled file changes useful for perfective maintenance tasks?

How Do Coupled File Changes Influence How Developers Seek Help During Maintenance Tasks?

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