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A hybrid release planning method and its empirical justification
Background: The use of Constraint Programming (CP) has been proposed by Regnell and Kuchcinski to model and solve the Release Planning Problem. However, they did not empirically demonstrate the advantages and disadvantages of CP over existing release planning methods. Aims: The aims of this paper ar...
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| creator | Przepiora, Mark Karimpour, Reza Ruhe, Guenther |
| description | Background: The use of Constraint Programming (CP) has been proposed by Regnell and Kuchcinski to model and solve the Release Planning Problem. However, they did not empirically demonstrate the advantages and disadvantages of CP over existing release planning methods.
Aims: The aims of this paper are (1) to perform a comparative analysis between CP and ReleasePlanner (RP), an existing release planning tool, and (2) to suggest a hybrid approach combining the strengths of each individual method.
Method: (1) An empirical evaluation was performed, evaluating the efficiency and effectiveness of the individual methods to justify their hybrid usage. (2) A proof of concept for a hybrid release planning method is introduced, and a real-world dataset including more than 600 features was solved using the hybrid method to provide evidence of its effectiveness.
Results: (1) Use of RP was found to be more efficient and effective than CP. However, CP is preferred when advanced planning objectives and constraints exist. (2) The hybrid method (RP&CP) greatly outperformed the individual approach (CP), increasing computational solution quality by 87%.
Conclusion: We were able to increase the expressiveness and thus applicability of an existing, efficient and effective release planning method. We presented evidence for its computational effectiveness, but more work is needed to make this result significant.2 |
| doi_str_mv | 10.1145/2372251.2372271 |
| format | conference_proceeding |
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Aims: The aims of this paper are (1) to perform a comparative analysis between CP and ReleasePlanner (RP), an existing release planning tool, and (2) to suggest a hybrid approach combining the strengths of each individual method.
Method: (1) An empirical evaluation was performed, evaluating the efficiency and effectiveness of the individual methods to justify their hybrid usage. (2) A proof of concept for a hybrid release planning method is introduced, and a real-world dataset including more than 600 features was solved using the hybrid method to provide evidence of its effectiveness.
Results: (1) Use of RP was found to be more efficient and effective than CP. However, CP is preferred when advanced planning objectives and constraints exist. (2) The hybrid method (RP&CP) greatly outperformed the individual approach (CP), increasing computational solution quality by 87%.
Conclusion: We were able to increase the expressiveness and thus applicability of an existing, efficient and effective release planning method. We presented evidence for its computational effectiveness, but more work is needed to make this result significant.2</description><identifier>ISSN: 1949-3770</identifier><identifier>ISBN: 9781450310567</identifier><identifier>ISBN: 1450310567</identifier><identifier>EISSN: 1949-3789</identifier><identifier>EISBN: 9781450310567</identifier><identifier>EISBN: 1450310567</identifier><identifier>DOI: 10.1145/2372251.2372271</identifier><language>eng</language><publisher>New York, NY, USA: ACM</publisher><subject>Educational institutions ; efficiency of use ; hybrid algorithm ; performance evaluation ; Planning ; Programming ; Release planning ; Search problems ; Social and professional topics -- Professional topics -- Management of computing and information systems -- Project and people management ; Software ; Software and its engineering -- Software creation and management -- Software development process management ; Software and its engineering -- Software creation and management -- Software development techniques ; Software and its engineering -- Software notations and tools -- Software configuration management and version control systems ; Software engineering ; Systematics ; user satisfaction</subject><ispartof>Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2012, p.115-118</ispartof><rights>2012 ACM</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6475405$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6475405$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Przepiora, Mark</creatorcontrib><creatorcontrib>Karimpour, Reza</creatorcontrib><creatorcontrib>Ruhe, Guenther</creatorcontrib><title>A hybrid release planning method and its empirical justification</title><title>Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement</title><addtitle>ESEM</addtitle><description>Background: The use of Constraint Programming (CP) has been proposed by Regnell and Kuchcinski to model and solve the Release Planning Problem. However, they did not empirically demonstrate the advantages and disadvantages of CP over existing release planning methods.
Aims: The aims of this paper are (1) to perform a comparative analysis between CP and ReleasePlanner (RP), an existing release planning tool, and (2) to suggest a hybrid approach combining the strengths of each individual method.
Method: (1) An empirical evaluation was performed, evaluating the efficiency and effectiveness of the individual methods to justify their hybrid usage. (2) A proof of concept for a hybrid release planning method is introduced, and a real-world dataset including more than 600 features was solved using the hybrid method to provide evidence of its effectiveness.
Results: (1) Use of RP was found to be more efficient and effective than CP. However, CP is preferred when advanced planning objectives and constraints exist. (2) The hybrid method (RP&CP) greatly outperformed the individual approach (CP), increasing computational solution quality by 87%.
Conclusion: We were able to increase the expressiveness and thus applicability of an existing, efficient and effective release planning method. We presented evidence for its computational effectiveness, but more work is needed to make this result significant.2</description><subject>Educational institutions</subject><subject>efficiency of use</subject><subject>hybrid algorithm</subject><subject>performance evaluation</subject><subject>Planning</subject><subject>Programming</subject><subject>Release planning</subject><subject>Search problems</subject><subject>Social and professional topics -- Professional topics -- Management of computing and information systems -- Project and people management</subject><subject>Software</subject><subject>Software and its engineering -- Software creation and management -- Software development process management</subject><subject>Software and its engineering -- Software creation and management -- Software development techniques</subject><subject>Software and its engineering -- Software notations and tools -- Software configuration management and version control systems</subject><subject>Software engineering</subject><subject>Systematics</subject><subject>user satisfaction</subject><issn>1949-3770</issn><issn>1949-3789</issn><isbn>9781450310567</isbn><isbn>1450310567</isbn><isbn>9781450310567</isbn><isbn>1450310567</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNqNkDtPwzAUhc1LoiqdGVg8sqT4-hHbG1VVHlIlFpgtO7mhLnlUcRj67wm0YmBiOlf6dI50P0Kugc0BpLrjQnOuYP6TGk7IzGozAiaAqVyfkglYaTOhjT37w85_mWaXZJbSljEGwJUW-YTcL-hmH_pY0h5r9AnprvZtG9t32uCw6Urq25LGIVFsdrGPha_p9jMNsRrPIXbtFbmofJ1wdswpeXtYvS6fsvXL4_Nysc48l3rIhBTegJLKCFMZwMKL4JViCoIOyqKyYEtechS5hBBEESQ3FpFVKEyuvZiSm8NuRES362Pj-73LpVaSqZHOD9QXjQtd95EcMPetzh3VuaM6Nz6L1Vi4_WdBfAFHiWZq</recordid><startdate>20120919</startdate><enddate>20120919</enddate><creator>Przepiora, Mark</creator><creator>Karimpour, Reza</creator><creator>Ruhe, Guenther</creator><general>ACM</general><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20120919</creationdate><title>A hybrid release planning method and its empirical justification</title><author>Przepiora, Mark ; Karimpour, Reza ; Ruhe, Guenther</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a247t-343a81545838f81eca3ba55051b7b59e5919d2d2e3641bb3cb4289ee0fe3867a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Educational institutions</topic><topic>efficiency of use</topic><topic>hybrid algorithm</topic><topic>performance evaluation</topic><topic>Planning</topic><topic>Programming</topic><topic>Release planning</topic><topic>Search problems</topic><topic>Social and professional topics -- Professional topics -- Management of computing and information systems -- Project and people management</topic><topic>Software</topic><topic>Software and its engineering -- Software creation and management -- Software development process management</topic><topic>Software and its engineering -- Software creation and management -- Software development techniques</topic><topic>Software and its engineering -- Software notations and tools -- Software configuration management and version control systems</topic><topic>Software engineering</topic><topic>Systematics</topic><topic>user satisfaction</topic><toplevel>online_resources</toplevel><creatorcontrib>Przepiora, Mark</creatorcontrib><creatorcontrib>Karimpour, Reza</creatorcontrib><creatorcontrib>Ruhe, Guenther</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Przepiora, Mark</au><au>Karimpour, Reza</au><au>Ruhe, Guenther</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A hybrid release planning method and its empirical justification</atitle><btitle>Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement</btitle><stitle>ESEM</stitle><date>2012-09-19</date><risdate>2012</risdate><spage>115</spage><epage>118</epage><pages>115-118</pages><issn>1949-3770</issn><eissn>1949-3789</eissn><isbn>9781450310567</isbn><isbn>1450310567</isbn><eisbn>9781450310567</eisbn><eisbn>1450310567</eisbn><abstract>Background: The use of Constraint Programming (CP) has been proposed by Regnell and Kuchcinski to model and solve the Release Planning Problem. However, they did not empirically demonstrate the advantages and disadvantages of CP over existing release planning methods.
Aims: The aims of this paper are (1) to perform a comparative analysis between CP and ReleasePlanner (RP), an existing release planning tool, and (2) to suggest a hybrid approach combining the strengths of each individual method.
Method: (1) An empirical evaluation was performed, evaluating the efficiency and effectiveness of the individual methods to justify their hybrid usage. (2) A proof of concept for a hybrid release planning method is introduced, and a real-world dataset including more than 600 features was solved using the hybrid method to provide evidence of its effectiveness.
Results: (1) Use of RP was found to be more efficient and effective than CP. However, CP is preferred when advanced planning objectives and constraints exist. (2) The hybrid method (RP&CP) greatly outperformed the individual approach (CP), increasing computational solution quality by 87%.
Conclusion: We were able to increase the expressiveness and thus applicability of an existing, efficient and effective release planning method. We presented evidence for its computational effectiveness, but more work is needed to make this result significant.2</abstract><cop>New York, NY, USA</cop><pub>ACM</pub><doi>10.1145/2372251.2372271</doi><tpages>4</tpages></addata></record> |
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| identifier | ISSN: 1949-3770 |
| ispartof | Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2012, p.115-118 |
| issn | 1949-3770 1949-3789 |
| language | eng |
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| source | IEEE Xplore All Conference Series |
| subjects | Educational institutions efficiency of use hybrid algorithm performance evaluation Planning Programming Release planning Search problems Social and professional topics -- Professional topics -- Management of computing and information systems -- Project and people management Software Software and its engineering -- Software creation and management -- Software development process management Software and its engineering -- Software creation and management -- Software development techniques Software and its engineering -- Software notations and tools -- Software configuration management and version control systems Software engineering Systematics user satisfaction |
| title | A hybrid release planning method and its empirical justification |
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