Content area

Abstract

The understanding of source code in large-scale software systems poses a challenge for developers. The role of expertise in source code becomes critical for identifying developers accountable for substantial changes. However, in the context of configurable software systems (CSS) using pre-processing and conditional compilation, conventional expertise metrics may encounter limitations due to the non-alignment of variability implementation with the natural module structure. This early research study investigates the distribution of development efforts in CSS, specifically focusing on variable and mandatory code. It also examines the engagement of designated experts with variable code in their assigned files. The findings provide insights into task allocation dynamics and raise questions about the applicability of existing metrics, laying the groundwork for alternative approaches to assess developer expertise in handling variable code. This research aims to contribute to a comprehensive understanding of challenges within CSS, marking initial steps toward advancing the evaluation of expertise in this context.

Details

1009240
Identifier / keyword
Title
Navigating Expertise in Configurable Software Systems through the Maze of Variability
Publication title
arXiv.org; Ithaca
Publication year
2024
Publication date
Jan 19, 2024
Section
Computer Science
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2024-01-22
Milestone dates
2024-01-19 (Submission v1)
Publication history
 
 
   First posting date
22 Jan 2024
ProQuest document ID
2917417161
Document URL
https://www.proquest.com/working-papers/navigating-expertise-configurable-software/docview/2917417161/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-01-23
Database
ProQuest One Academic