Predicting dependencies using domain-based coupling

Aryani, Amir; Perin, Fabrizio; Lungu, Mircea; Mahmood, Abdun Naser; Nierstrasz, Oscar (2014). Predicting dependencies using domain-based coupling. Journal of Software: Evolution and Process, 26(1), pp. 50-76. Wiley 10.1002/smr.1598

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Software dependencies play a vital role in programme comprehension, change impact analysis and other software maintenance activities. Traditionally, these activities are supported by source code analysis; however, the source code is sometimes inaccessible or difficult to analyse, as in hybrid systems composed of source code in multiple languages using various paradigms (e.g. object-oriented programming and relational databases). Moreover, not all stakeholders have adequate knowledge to perform such analyses. For example, non-technical domain experts and consultants raise most maintenance requests; however, they cannot predict the cost and impact of the requested changes without the support of the developers. We propose a novel approach to predicting software dependencies by exploiting the coupling present in domain-level information. Our approach is independent of the software implementation; hence, it can be used to approximate architectural dependencies without access to the source code or the database. As such, it can be applied to hybrid systems with heterogeneous source code or legacy systems with missing source code. In addition, this approach is based solely on information visible and understandable to domain users; therefore, it can be efficiently used by domain experts without the support of software developers. We evaluate our approach with a case study on a large-scale enterprise system, in which we demonstrate how up to 65 of the source code dependencies and 77% of the database dependencies are predicted solely based on domain information.

Item Type: Journal Article (Original Article)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF)
08 Faculty of Science > Institute of Computer Science (INF) > Software Composition Group (SCG)
UniBE Contributor: Lungu, Mircea and Nierstrasz, Oscar Marius
Subjects: 000 Computer science, knowledge & systems
500 Science > 510 Mathematics
ISSN: 2047-7481
Publisher: Wiley
Language: English
Submitter: Oscar Marius Nierstrasz
Date Deposited: 23 Apr 2015 08:58
Last Modified: 08 Feb 2017 11:22
Publisher DOI: 10.1002/smr.1598
Uncontrolled Keywords: scg-pub snf-asa scg14 jb13 domain-based coupling; architectural dependencies; database dependencies; source code analysis; programme comprehension
BORIS DOI: 10.7892/boris.67034

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