Replication Data for: A Study of Refactorings During Software Change Tasks

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Eilertsen, Anna Maria; Murphy, Gail C., 2021, "Replication Data for: A Study of Refactorings During Software Change Tasks", https://doi.org/10.18710/VTTNXM, DataverseNO, V1, UNF:6:nHBp0HSLTgYu/exEFQAJoA== [fileUNF]
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Description
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This dataset contains replication artifacts, data, and analysis artifacts for the study "Refactoring strategies used by developers during software evolution tasks". The study was presented in the paper "A Study of Refactorings During Software Change Tasks".

The purpose of the study was to learn about how developers approach software change tasks that contain refactoring steps. Developers were recruited and presented with three software change tasks that contain steps that are amenable to automation with refactoring tools. The tasks were based on commits mined from open-source repositories. The developers solved the tasks while following a think aloud protocol. Interleaved with the tasks and just after all the tasks were finished we conducted interviews with the developer. We recorded their vocalizing, the interviews, their screens, and the resulting source code. We then transcribed the audio and annotated the transcripts with timestamps, and invocations of refactoring tools, if any.

Article abstract: Developers frequently undertake software change tasks that could be partially or fully automated by refactoring tools. As has been reported by others, all too often, these refactoring steps are instead performed manually by developers. These missed opportunities are referred to as occasions of disuse of refactoring tools. We perform an observational study in which 17 developers with professional experience attempt to solve three change tasks with steps amenable to the use of refactoring tools. We found that the strategies developers use to approach these tasks shape their workflow, which in turn shapes the opportunities for refactoring tool use. We report on a number of findings about developer strategies, demonstrating the difficulty of aligning the kind of refactoring steps that emerge during a change task based on the strategy with the tools available. We also report on findings about refactoring tools, such as the difficulties developers face in controlling the scope of application of the tools. Our findings can help inform the designers of refactoring tools.

Data description: This dataset contains the transcript data that was collected during the experiments. It also contains the screen recordings of the participants' screen that was collected during the experiment. It is also contains the source code that the participants' edits resulted in. It also contains the results of coding the transcripts and the videos with invocations of refactoring tools (also visible on the screen recording) and mentions of refactoring tools. It also contains the workflows that we created for each participant which contains a summary of all refactoring tool invocations (also visible in transcripts) and their overarching strategy.

Participants worked in IntelliJ (Java IDE, integrated development environment).

Their screen and audio was recorded with QuickTime Player.

The source code was in Java 1.8.

The code had a git repository.

The project was built with Maven.

The Maven build file contains maven-compiler-plugin, org.hamcrest.hamcrest-core, org.junit.junit5-api, org.junit.junit4-engine.

The audio was transcribed with the Atom Editor.

The CSV-files were created with Google Sheets.

(2021-01-01)
Subject Computer and Information Science
Keyword refactoring, software evolution, human factors
Related Publication Eilertsen AM and GC. Murphy, (2021), A Study of Refactorings During Software Change Tasks, Journal of Software: Evolution and Process, 2021; doi: 10.1002/SMR.2378
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00_README.txt
Plain Text - 18.8 KB
Published Sep 3, 2021
49 Downloads
MD5: 585ced4a07e2dd9cd6ceebdac68793d2
Description of the dataset.
Preview "00_README.txt"
Action-Overview-StrategiesAndInvocatons.tab
analysis/tasks/Tabular Data - 3.6 KB
Published Sep 3, 2021
43 Downloads
20 Variables, 21 Observations UNF:6:nHBp0HSLTgYu/exEFQAJoA==
Overview of participants, experience, strategies, and invocations per task
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Action-Overview-Summary.csv
analysis/tasks/Comma Separated Values - 19.0 KB
Published Sep 3, 2021
47 Downloads
MD5: 62a51523643615bb0bc2bb04c30bc5c9
Overview of activities each participant took on each task
Preview "analysis/tasks/Action-Overview-Summary.csv"
Action-Overview.xlsx
analysis/tasks/MS Excel Spreadsheet - 109.1 KB
Published Sep 3, 2021
45 Downloads
MD5: 040a3dee6ac1efabc9ba419a3b7eea8d
Spreadsheet with an overview of the activities that each participant took along with preliminary analysis
Invocations-overview.txt
analysis/tasks/Plain Text - 6.1 KB
Published Sep 3, 2021
16 Downloads
MD5: ef24fbb946e6caabbe7c7d086f407c8e
overview of the 100 refactoring tool invocations with task nr, participant ID, timestamp and brief notes about configuration or outcome
Preview "analysis/tasks/Invocations-overview.txt"
Workflows.pdf
Workflows.pdf
analysis/tasks/Adobe PDF - 169.8 KB
Published Sep 3, 2021
19 Downloads
MD5: d9a486c0bf90b66a53616672295d17e9
Overview of the workflows used as formatted pdf file
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Workflows.txt
analysis/tasks/Plain Text - 61.3 KB
Published Sep 3, 2021
14 Downloads
MD5: 2237bb3a9917a4d3ee65b41a0bcba165
Overview of the workflows used as simple raw txt file. We recommend viewing this file in pdf format.
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Usability-codebook.txt
analysis/usability/Plain Text - 1.2 KB
Published Sep 3, 2021
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MD5: febeaf50c67c619fb26b7f1f753b9b32
Codebook for usability factors in transcripts
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Usability-Transcripts-Analysis-CSVs.zip
analysis/usability/ZIP Archive - 537.3 KB
Published Sep 3, 2021
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MD5: 995650a3d402e2c497e00ea9c17fdb51
All worksheets from Usability-Transcripts-Analysis.xlsx as individual CSV files
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Usability-Transcripts-Analysis.xlsx
analysis/usability/MS Excel Spreadsheet - 6.2 MB
Published Sep 3, 2021
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MD5: d8c530ed012271ef41fd659cd1d82b0e
Contains multiple sheets, starting with summarising sheets and simple analysis, then all cardsorts, then all labeled transcripts.
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