IEEE Transactions on Services Computing

IEEE Transactions on Services Computing (TSC) is a journal that focuses on research on the algorithmic, mathematical, statistical and computational methods that are central in services computing; the emerging field of Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, Services Operations and Management. Read more about TSC


Expand your horizons with Colloquium, a monthly survey of abstracts from all CS transactions! Replaces OnlinePlus in January 2017.


From the May/June 2017 issue

Search-Based Web Service Antipatterns Detection

By Ali Ouni, Marouane Kessentini, Katsuro Inoue, and Mel Ó Cinnéide

Featured article thumbnail imageService Oriented Architecture (SOA) is widely used in industry and is regarded as one of the preferred architectural design technologies. As with any other software system, service-based systems (SBSs) may suffer from poor design, i.e., antipatterns, for many reasons such as poorly planned changes, time pressure or bad design choices. Consequently, this may lead to an SBS product that is difficult to evolve and that exhibits poor quality of service (QoS). Detecting web service antipatterns is a manual, time-consuming and error-prone process for software developers. In this paper, we propose an automated approach for detection of web service antipatterns using a cooperative parallel evolutionary algorithm (P-EA). The idea is that several detection methods are combined and executed in parallel during an optimization process to find a consensus regarding the identification of web service antipatterns. We report the results of an empirical study using eight types of common web service antipatterns. We compare the implementation of our cooperative P-EA approach with random search, two single population-based approaches and one state-of-the-art detection technique not based on heuristic search. Statistical analysis of the obtained results demonstrates that our approach is efficient in antipattern detection, with a precision score of 89 percent and a recall score of 93 percent.

download PDF View the PDF of this article      csdl View this issue in the digital library


Editorials and Announcements

Announcements


Editorials


Guest Editorials


Call for Papers


Reviewers List


Annual Index


Access Recently Published TSC Articles

RSS Subscribe to the RSS feed of latest TSC content added to the digital library.

Mail Sign up for the Transactions Connection Newsletter.