A systematic literature review on the detection of smells and their evolution in object‐oriented and service‐oriented systems

• Published in: Software, practice & experience Vol. 49; no. 1; pp. 3 - 39
• Main Authors: Sabir, Fatima, Palma, Francis, Rasool, Ghulam, Guéhéneuc, Yann‐Gaël, Moha, Naouel
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01.01.2019
• Subjects: antipatterns; Coupling; design smells; Evolution; Literature reviews; object-oriented (OO) systems; Programvaruteknik; service-oriented (SO) systems; Smell; smells; Software engineering; Software Technology; Source code; Studies
• ISSN: 0038-0644; 1097-024X; 1097-024X
• DOI: 10.1002/spe.2639

Summary This systematic literature review paper investigates the key techniques employed to identify smells in different paradigms of software engineering from object‐oriented (OO) to service‐oriented (SO). In this review, we want to identify commonalities and differences in the identification of smells in OO and SO systems. Our research method relies on an automatic search from the relevant digital libraries to find the studies published since January 2000 on smells until December 2017. We have conducted a pilot and author‐based search that allows us to select the 78 most relevant studies after applying inclusion and exclusion criteria. We evaluated the studies based on the smell detection techniques and the evolution of different methodologies in OO and SO. Among the 78 relevant studies selected, we have identified six different studies in which linguistic source code analysis received less attention from the researchers as compared to the static source code analysis. Smells like the yo‐yo problem, unnamed coupling, intensive coupling, and interface bloat received considerably less attention in the literature. We also identified a catalog of 30 smells infrequently reported for SO systems and that require further attention. Moreover, a suite of 20 smells reported for SO systems can also be detected using static source code metrics in OO. Finally, our review highlighted three major research trends that are further subdivided into 20 research patterns initiating the detection of smells toward their correction.