Paper  abstract   bibtex   

@ARTICLE{Palma18-TSE-UniDoSA,
   AUTHOR       = {Francis Palma and Naouel Moha and Yann-Ga�l Gu�h�neuc},
   JOURNAL      = {Transactions on Software Engineering (TSE)},
   TITLE        = {UniDoSA: The Unified Specification and Detection of 
      Service Antipatterns},
   YEAR         = {2019},
   MONTH        = {October},
   NOTE         = {31 pages.},
   NUMBER       = {10},
   PAGES        = {1024--1053},
   VOLUME       = {45},
   EDITOR       = {Nenad Medvidovic},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, Venue: <b>TSE</b>},
   PUBLISHER    = {IEEE CS Press},
   URL          = {http://www.ptidej.net/publications/documents/TSE18.doc.pdf},
   ABSTRACT     = {Service-based Systems (SBSs) are developed on top of 
      diverse Service-Oriented Architecture (SOA) technologies or 
      architectural styles. Like any other complex systems, SBSs face both 
      functional and non-functional changes at the design or 
      implementation-level. Such changes may degrade the design quality and 
      quality of service (QoS) of the services in SBSs by introducing poor 
      solutions: service antipatterns. The presence of service antipatterns 
      in SBSs may hinder the future maintenance and evolution of SBSs. 
      Assessing the quality of design and QoS of SBSs through the detection 
      of service antipatterns may ease their maintenance and evolution. 
      However, the current literature lacks a unified approach for 
      modelling and evaluating the design of SBSs in term of design quality 
      and QoS. To address this lack, this paper presents a meta-model 
      unifying the three main service technologies: REST, SCA, and SOAP. 
      Using the meta-model, it describes a unified approach, UniDoSA 
      (Unified Specification and Detection of Service Antipatterns), 
      supported by a framework, SOFA (Service Oriented Framework for 
      Antipatterns), for modelling and evaluating the design quality and 
      QoS of SBSs. We apply and validate UniDoSA on: (1) 18 RESTful APIs, 
      (2) two SCA systems with more than 150 services, and (3) more than 
      120 SOAP Web services. With a high precision and recall, the 
      detection results provide evidence of the presence of service 
      antipatterns in SBSs, which calls for future studies of their impact 
      on QoS}
}