Search-Based Cost-Effective Software Remodularization

Mahouachi, Rim

doi:10.1007/s11390-018-1892-6

Cited by 13 publications

(10 citation statements)

References 37 publications

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“…Finally, given the advances of natural language processing techniques and the similar statistical properties that source code hold [48], we suggest future work to explore whether semantically similar classes should also be packed together. We observe researchers taking the first steps towards such an idea (i.e., Ouni et al [16], Mkaouer et al [30], Mahouachi [18]); we reinforce the need for such approaches.…”

Section: Challenge 1: the Need For Better Cohesion Metricssupporting

confidence: 59%

“…We see works focusing on, e.g., proposing code metrics that aim at detecting modules that are not cohesive or are too much coupled (e.g., [6,7,8]), and automated detection of modularization anti-patterns (e.g., [9]). Closely related to this research, we also see a large effort from the community in modeling software (re-)modularization as an optimization problem and employing search-based techniques to find candidate solutions (e.g., [10,11,12,13,14,15,16,17,18,19,20,21,22,23]). The different studies have relied on different software quality metrics, e.g., coupling, cohesion, number of modules and clusters, effort, package size, number of changes, and semantic cohesiveness.…”

Section: Introductionmentioning

confidence: 88%

“…In our experience, representing solutions as a set of changes also dramatically reduces the memory consumption. Besides, modeling solutions as set of changes has been previously proposed by Abdeen et al [15] and also applied by other researchers in the field [18,14].…”

Section: A Modeling and Representationmentioning

confidence: 99%

“…Coupling. This objective is often proposed as code quality measures [31,32,25,33,34,35,36], and is often used in combination with search algorithms to improve the code quality of a code base (e.g., [15,16,18,13,30,12,37,22,38,20,6,21]). In this paper, we measure software coupling using the inter-module coupling (InterMD).…”

Section: B Search Objectivesmentioning

confidence: 99%

“…This choice is supported by the fact that the number of search objectives to optimize is low (< 5). Previous studies have shown that NSGA-II is the most effective algorithm for software re-modularization and similar problems [15,21,20,23,17,14,18,16].…”

Section: The Search Algorithmmentioning

confidence: 99%

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Search-Based Software Re-Modularization: A Case Study at Adyen

Schröder¹,

Feltz²,

Panichella

et al. 2021

2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

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Deciding what constitutes a single module, what classes belong to which module or the right set of modules for a specific software system has always been a challenging task. The problem is even harder in large-scale software systems composed of thousands of classes and hundreds of modules. Over the years, researchers have been proposing different techniques to support developers in re-modularizing their software systems. In particular, the search-based software re-modularization is an active research topic within the software engineering community for more than 20 years.This paper describes our efforts in applying search-based software re-modularization approaches at Adyen, a large-scale payment company. Adyen's code base has 5.5M+ lines of code, split into around hundreds of modules. We leveraged the existing body of knowledge in the field to devise our own search algorithm and applied it to our code base. Our results show that searchbased approaches scale to large code bases as ours. Our algorithm can find solutions that improve the code base according to the metrics we optimize for, and developers see value in the recommendations. Based on our experiences, we then list a set of challenges and opportunities for future researchers, aiming at making search-based software re-modularization more efficient for large-scale software companies.

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