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Automatic dynamic generation of likely invariants for WS-BPEL compositions
•Properties inferred from static analysis of the WS-BPEL composition could be limited.•We propose extracting properties from actual executions of WS-BPEL compositions.•We provide innovative solutions for WS-BPEL-specific features.•We have implemented the only dynamic invariant generator available fo...
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Published in: | Expert systems with applications 2014-09, Vol.41 (11), p.5041-5055 |
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creator | Palomo-Duarte, Manuel García-Domínguez, Antonio Medina-Bulo, Inmaculada |
description | •Properties inferred from static analysis of the WS-BPEL composition could be limited.•We propose extracting properties from actual executions of WS-BPEL compositions.•We provide innovative solutions for WS-BPEL-specific features.•We have implemented the only dynamic invariant generator available for WS-BPEL.•Results show that the solutions are successful.
The wide adoption of Web Services has led to the development of languages to compose them, like the WS-BPEL standard. In order to check whether the composition works as expected, one common approach is to analyze it and infer functional properties describing its behavior. Traditional approaches for inferring properties in WS-BPEL have been static: compositions are transformed into specialized analysis models based on some formalization. However, this formalization could be inexact due to theoretical limitations or differing interpretations of the standard by implementers. Dynamic invariant generation solves these problems by extracting the properties from actual executions and has been successfully used in popular languages, but not to WS-BPEL yet. In this work, we apply dynamic invariant generation to WS-BPEL, providing innovative solutions for several features that require special consideration, like highly multidimensional values in variables, an advanced type system or unstructured code. We have implemented these solutions in Takuan and evaluated its performance with several compositions of varying complexity. We present the results obtained and a comparative analysis of the efficiency and effectiveness of our solutions. Results show that the solutions are successful in reducing the cost of applying dynamic invariant generation and the number of uninteresting invariants generated. |
doi_str_mv | 10.1016/j.eswa.2014.01.037 |
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The wide adoption of Web Services has led to the development of languages to compose them, like the WS-BPEL standard. In order to check whether the composition works as expected, one common approach is to analyze it and infer functional properties describing its behavior. Traditional approaches for inferring properties in WS-BPEL have been static: compositions are transformed into specialized analysis models based on some formalization. However, this formalization could be inexact due to theoretical limitations or differing interpretations of the standard by implementers. Dynamic invariant generation solves these problems by extracting the properties from actual executions and has been successfully used in popular languages, but not to WS-BPEL yet. In this work, we apply dynamic invariant generation to WS-BPEL, providing innovative solutions for several features that require special consideration, like highly multidimensional values in variables, an advanced type system or unstructured code. We have implemented these solutions in Takuan and evaluated its performance with several compositions of varying complexity. We present the results obtained and a comparative analysis of the efficiency and effectiveness of our solutions. Results show that the solutions are successful in reducing the cost of applying dynamic invariant generation and the number of uninteresting invariants generated.</description><identifier>ISSN: 0957-4174</identifier><identifier>EISSN: 1873-6793</identifier><identifier>DOI: 10.1016/j.eswa.2014.01.037</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Applied sciences ; Artificial intelligence ; Business Process Execution Language ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Computer systems performance. Reliability ; Dynamic invariant generation ; Dynamical systems ; Dynamics ; Exact sciences and technology ; Expert systems ; Invariants ; Mathematical models ; Software ; Speech and sound recognition and synthesis. Linguistics ; Web service composition ; Web services ; White-box testing ; WS-BPEL</subject><ispartof>Expert systems with applications, 2014-09, Vol.41 (11), p.5041-5055</ispartof><rights>2014 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-d309eb7e48f071e0624b23c837a51271fc8af304845525c8cd1993981623a85d3</citedby><cites>FETCH-LOGICAL-c440t-d309eb7e48f071e0624b23c837a51271fc8af304845525c8cd1993981623a85d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28438239$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Palomo-Duarte, Manuel</creatorcontrib><creatorcontrib>García-Domínguez, Antonio</creatorcontrib><creatorcontrib>Medina-Bulo, Inmaculada</creatorcontrib><title>Automatic dynamic generation of likely invariants for WS-BPEL compositions</title><title>Expert systems with applications</title><description>•Properties inferred from static analysis of the WS-BPEL composition could be limited.•We propose extracting properties from actual executions of WS-BPEL compositions.•We provide innovative solutions for WS-BPEL-specific features.•We have implemented the only dynamic invariant generator available for WS-BPEL.•Results show that the solutions are successful.
The wide adoption of Web Services has led to the development of languages to compose them, like the WS-BPEL standard. In order to check whether the composition works as expected, one common approach is to analyze it and infer functional properties describing its behavior. Traditional approaches for inferring properties in WS-BPEL have been static: compositions are transformed into specialized analysis models based on some formalization. However, this formalization could be inexact due to theoretical limitations or differing interpretations of the standard by implementers. Dynamic invariant generation solves these problems by extracting the properties from actual executions and has been successfully used in popular languages, but not to WS-BPEL yet. In this work, we apply dynamic invariant generation to WS-BPEL, providing innovative solutions for several features that require special consideration, like highly multidimensional values in variables, an advanced type system or unstructured code. We have implemented these solutions in Takuan and evaluated its performance with several compositions of varying complexity. We present the results obtained and a comparative analysis of the efficiency and effectiveness of our solutions. Results show that the solutions are successful in reducing the cost of applying dynamic invariant generation and the number of uninteresting invariants generated.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Business Process Execution Language</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Computer systems performance. Reliability</subject><subject>Dynamic invariant generation</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Exact sciences and technology</subject><subject>Expert systems</subject><subject>Invariants</subject><subject>Mathematical models</subject><subject>Software</subject><subject>Speech and sound recognition and synthesis. Linguistics</subject><subject>Web service composition</subject><subject>Web services</subject><subject>White-box testing</subject><subject>WS-BPEL</subject><issn>0957-4174</issn><issn>1873-6793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkEtL9DAUhoMoOF7-gKtuBDetJ5c2CbhR8fPCgIKKyxDTU8nYNmPS8WP-vS0jLnX1wuF53wMPIUcUCgq0Ol0UmP7bggEVBdACuNwiM6okzyup-TaZgS5lLqgUu2QvpQUAlQByRu7OV0Po7OBdVq972435hj3G8RL6LDRZ69-xXWe-_7TR235IWRNi9vKYXzxczTMXumVIfoLTAdlpbJvw8Dv3yfO_q6fLm3x-f317eT7PnRAw5DUHja8ShWpAUoSKiVfGneLSlpRJ2jhlGw5CibJkpVOuplpzrWjFuFVlzffJyWZ3GcPHCtNgOp8ctq3tMaySoZWUWutSqb_RspJQgWZ6RNkGdTGkFLExy-g7G9eGgpkcm4WZHJvJsQFqRsdj6fh73yZn2yba3vn002RKcMX4NH624XD08ukxmuQ89g5rH9ENpg7-tzdfGa6Qfg</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Palomo-Duarte, Manuel</creator><creator>García-Domínguez, Antonio</creator><creator>Medina-Bulo, Inmaculada</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140901</creationdate><title>Automatic dynamic generation of likely invariants for WS-BPEL compositions</title><author>Palomo-Duarte, Manuel ; García-Domínguez, Antonio ; Medina-Bulo, Inmaculada</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c440t-d309eb7e48f071e0624b23c837a51271fc8af304845525c8cd1993981623a85d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Business Process Execution Language</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Computer systems performance. Reliability</topic><topic>Dynamic invariant generation</topic><topic>Dynamical systems</topic><topic>Dynamics</topic><topic>Exact sciences and technology</topic><topic>Expert systems</topic><topic>Invariants</topic><topic>Mathematical models</topic><topic>Software</topic><topic>Speech and sound recognition and synthesis. Linguistics</topic><topic>Web service composition</topic><topic>Web services</topic><topic>White-box testing</topic><topic>WS-BPEL</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palomo-Duarte, Manuel</creatorcontrib><creatorcontrib>García-Domínguez, Antonio</creatorcontrib><creatorcontrib>Medina-Bulo, Inmaculada</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Palomo-Duarte, Manuel</au><au>García-Domínguez, Antonio</au><au>Medina-Bulo, Inmaculada</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic dynamic generation of likely invariants for WS-BPEL compositions</atitle><jtitle>Expert systems with applications</jtitle><date>2014-09-01</date><risdate>2014</risdate><volume>41</volume><issue>11</issue><spage>5041</spage><epage>5055</epage><pages>5041-5055</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract>•Properties inferred from static analysis of the WS-BPEL composition could be limited.•We propose extracting properties from actual executions of WS-BPEL compositions.•We provide innovative solutions for WS-BPEL-specific features.•We have implemented the only dynamic invariant generator available for WS-BPEL.•Results show that the solutions are successful.
The wide adoption of Web Services has led to the development of languages to compose them, like the WS-BPEL standard. In order to check whether the composition works as expected, one common approach is to analyze it and infer functional properties describing its behavior. Traditional approaches for inferring properties in WS-BPEL have been static: compositions are transformed into specialized analysis models based on some formalization. However, this formalization could be inexact due to theoretical limitations or differing interpretations of the standard by implementers. Dynamic invariant generation solves these problems by extracting the properties from actual executions and has been successfully used in popular languages, but not to WS-BPEL yet. In this work, we apply dynamic invariant generation to WS-BPEL, providing innovative solutions for several features that require special consideration, like highly multidimensional values in variables, an advanced type system or unstructured code. We have implemented these solutions in Takuan and evaluated its performance with several compositions of varying complexity. We present the results obtained and a comparative analysis of the efficiency and effectiveness of our solutions. Results show that the solutions are successful in reducing the cost of applying dynamic invariant generation and the number of uninteresting invariants generated.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.eswa.2014.01.037</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Applied sciences Artificial intelligence Business Process Execution Language Computer science control theory systems Computer systems and distributed systems. User interface Computer systems performance. Reliability Dynamic invariant generation Dynamical systems Dynamics Exact sciences and technology Expert systems Invariants Mathematical models Software Speech and sound recognition and synthesis. Linguistics Web service composition Web services White-box testing WS-BPEL |
title | Automatic dynamic generation of likely invariants for WS-BPEL compositions |
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