Specification and Detection of SOA Antipatterns in Web Services

Palma, Francis; Moha, Naouel; Tremblay, Guy; Guéhéneuc, Yann‐Gaël

doi:10.1007/978-3-319-09970-5_6

Cited by 41 publications

(39 citation statements)

References 14 publications

(35 reference statements)

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“…Antipatterns in SOAP based web services and REST are introduced first time in [13,15,18]. These authors used natural language processing and source code metrics to detect anti-patterns.…”

Section: Stat Of the Artmentioning

confidence: 99%

“…Step 3 www.ijacsa.thesai.org To demonstrate that SWAD has few distinct features, we compared it with existing state of the art tools SODA-W [13] and P.E.Algo [14]. Table 2 …”

Section: Step1mentioning

confidence: 99%

“…These sets of web services are selected due to the availability of their results. We compare our results with two existing state of the art techniques [13,14] used for detection of anti-patterns from web services. Table 3 shows the statistics of examined web services extracted using CLOC 4 tool available freely on the web.…”

Section: Evaluation Of Approachmentioning

confidence: 99%

“…Most state of the art techniques focused on detection of anti-patterns from object oriented software applications but these techniques are not capable of detecting anti-patterns from SOA. We identified only a few representative approaches on specification and detection of SOA anti-patterns from Web-services [9,12,13,14,15,16,18]. To the best of our knowledge, most authors used different metrics and static/ dynamic analysis methods for the detection of anti-patterns from web-services.…”

Section: Introductionmentioning

confidence: 99%

“…To the best of our knowledge, most authors used different metrics and static/ dynamic analysis methods for the detection of anti-patterns from web-services. The state of the art antipattern detection approaches has some limitations: SODA-W [13] approach detects anti-patterns by just considering interface level metrics and it ignores implementation details. PA-E [14] approach detects anti-patterns from web services by considering their classes as well as implementation details but The proposed approach is flexible and extendable to implement code first concept.…”

Section: Introductionmentioning

confidence: 99%

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A Lightweight Approach for Specification and Detection of SOAP Anti-Patterns

Sabir¹,

Rasool²,

Yousaf³

2017

ijacsa

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Abstract-Web-services have become a governing technology for Service Oriented Architectures due to reusability of services and their dependence on other services. The evolution in service based systems demands frequent changes to provide quality of service to customers. It is realised by different researchers that evolution in service based systems may degrade design and quality of service and may generate poor solutions known as antipatterns. The detection of anti-patterns from web services is an important research realm and it is continuously getting the attention of researchers. There are a number of techniques and tools presented for detection of anti-patterns from object oriented software applications but only few approaches are presented for detection of anti-patterns from SOA. The state of the art anti-pattern detection approaches presented for detection of anti-patterns from SOA are not flexible enough and they are limited to detection of only a few anti-patterns. We present a flexible approach supplemented with a tool support to detect 10 anti-patterns from different SOA-based applications. We compare results of our approach with two representative state of the art approaches.

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“…Antipatterns in SOAP based web services and REST are introduced first time in [13,15,18]. These authors used natural language processing and source code metrics to detect anti-patterns.…”

Section: Stat Of the Artmentioning

confidence: 99%

“…Step 3 www.ijacsa.thesai.org To demonstrate that SWAD has few distinct features, we compared it with existing state of the art tools SODA-W [13] and P.E.Algo [14]. Table 2 …”

Section: Step1mentioning

confidence: 99%

Section: Evaluation Of Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Lightweight Approach for Specification and Detection of SOAP Anti-Patterns

Sabir¹,

Rasool²,

Yousaf³

2017

ijacsa

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

et al. 2018

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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.

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