Dataset to Study Indirectly Dependent Documentation in GitHub Repositories

In the research work, we have highlighted the importance of regularly updating the software documentation. For this purpose, we analyzed the function documentations indirectly dependent on other functions. This artifact provides scripts to extract the data and the final dataset containing observatio...

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Veröffentlicht in:2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) S. 215 - 216
Hauptverfasser: Sondhi, Devika, Gupta, Avyakt, Purandare, Salil, Rana, Ankit, Kaushal, Deepanshu, Purandare, Rahul
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2021
Schlagworte:
commits dataset
Data mining
Documentation
GitHub study
Software development management
Software engineering
ISBN:1665412194, 9781665412193
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:In the research work, we have highlighted the importance of regularly updating the software documentation. For this purpose, we analyzed the function documentations indirectly dependent on other functions. This artifact provides scripts to extract the data and the final dataset containing observations obtained on manually annotating the extracted data. The details of this work may be found in the paper appearing in the technical track, titled 'On Indirectly Dependent Documentation in the Context of Code Evolution: A Study'.
ISBN:1665412194
9781665412193
DOI:10.1109/ICSE-Companion52605.2021.00096