Paper Info
Title
Visualizing the customization endeavor in product-based-evolving software product lines: a case of action design research
Abstract
Software Product Lines (SPLs) aim at systematically reusing software assets, and deriving products (a.k.a., variants) out of those assets. However, it is not always possible to handle SPL evolution directly through these reusable assets. Time-to-market pressure, expedited bug fixes, or product specifics lead to the evolution to first happen at the product level, and to be later merged back into the SPL platform where the core assets reside. This is referred to as product-based evolution. In this scenario, deciding when and what should go into the next SPL release is far from trivial. Distinct questions arise. How much effort are developers spending on product customization? Which are the most customized core assets? To which extent is the core asset code being reused for a given product? We refer to this endeavor as Customization Analysis, i.e., understanding the functional increments in adjusting products from the last SPL platform release. The scale of the SPLs’ code-base calls for customization analysis to be conducted through Visual Analytics tools. This work addresses the design principles for such tools through a joint effort between academia and industry, specifically, Danfoss Drives, a company division in charge of the P400 SPL. Accordingly, we adopt an Action Design Research approach where answers are sought by interacting with the practitioners in the studied situations. We contribute by providing informed goals for customization analysis as well as an intervention in terms of a visual analytics tool. We conclude by discussing to what extent this experience can be generalized to product-based evolving SPL organizations other than Danfoss Drives.
Year
DOI
Venue
2022
10.1007/s10664-021-10101-6
Empirical Software Engineering
Keywords
DocType
Volume
SPL evolution, Visual analytics, Code diffing, Action design research
Journal
27
Issue
ISSN
Citations 
3
1382-3256
0
PageRank 
References 
Authors
0.34
10
5
Name
Order
Citations
PageRank
Oscar Díaz141562.28
Leticia Montalvillo200.34
Raul Medeiros300.34
Maider Azanza400.34
Thomas Fogdal500.34