Improvement on ABDOM-Qd and Its Application in Open-Source Community Software Defect Discovery Process
ABDOM-Q d is a model to describe the characteristics of software defect discovery time-ordered process, such as periodicity, attenuation, oscillation, incremental and discrete. It can help testing participants to evaluate testing quality and to predict testing process with the time-ordered software...
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| creator | Zhitao He Haihua Yan Chao Liu |
| description | ABDOM-Q d is a model to describe the characteristics of software defect discovery time-ordered process, such as periodicity, attenuation, oscillation, incremental and discrete. It can help testing participants to evaluate testing quality and to predict testing process with the time-ordered software defect discovery amounts in a good organized software testing process. Due to the poor organization in open-source software community, software defect discovery data show their obvious uncertainties such as mutations and randomness. In the early study of ABDOM/ABDOM-Q d this kind of process was excluded from the discussion. So it becomes an issue that whether ABDOM-Q d model can be applied to open-source community software defect discovery process and reveal new natures and characteristics. In order to answer the question, the normalization of b in ABDOM-Q d were discussed firstly under the curves paradigms and theirs actual significances discussion in conditions b×τ >0 and b×τ |
| doi_str_mv | 10.1109/WCSE.2013.18 |
| format | Conference Proceeding |
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It can help testing participants to evaluate testing quality and to predict testing process with the time-ordered software defect discovery amounts in a good organized software testing process. Due to the poor organization in open-source software community, software defect discovery data show their obvious uncertainties such as mutations and randomness. In the early study of ABDOM/ABDOM-Q d this kind of process was excluded from the discussion. So it becomes an issue that whether ABDOM-Q d model can be applied to open-source community software defect discovery process and reveal new natures and characteristics. In order to answer the question, the normalization of b in ABDOM-Q d were discussed firstly under the curves paradigms and theirs actual significances discussion in conditions b×τ >0 and b×τ <; 0. With the discussion results, a software defect discovery cycle stability coefficient B was proposed and the improved model ABDOM-QB d with stronger describing capability was established. Then ABDOM-QB d was applied in a NASA's open-source project, which is a typical representative of open-source projects, to fit the software defect data and a good fitting result was obtained. Finally with the application results the model's applicability and the characteristics of open-source community software defects discovery process were preliminarily discussed.</description><identifier>ISBN: 9781479928828</identifier><identifier>ISBN: 1479928828</identifier><identifier>EISBN: 9781479928835</identifier><identifier>EISBN: 1479928836</identifier><identifier>DOI: 10.1109/WCSE.2013.18</identifier><identifier>CODEN: IEEPAD</identifier><language>eng</language><publisher>IEEE</publisher><subject>ABDOM-Qd ; Communities ; Defect Detecting ; Fitting ; Open source software ; Open-source Community ; Oscillators ; Software Defects ; Software testing</subject><ispartof>2013 Fourth World Congress on Software Engineering, 2013, p.84-90</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6754268$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6754268$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhitao He</creatorcontrib><creatorcontrib>Haihua Yan</creatorcontrib><creatorcontrib>Chao Liu</creatorcontrib><title>Improvement on ABDOM-Qd and Its Application in Open-Source Community Software Defect Discovery Process</title><title>2013 Fourth World Congress on Software Engineering</title><addtitle>wcse</addtitle><description>ABDOM-Q d is a model to describe the characteristics of software defect discovery time-ordered process, such as periodicity, attenuation, oscillation, incremental and discrete. It can help testing participants to evaluate testing quality and to predict testing process with the time-ordered software defect discovery amounts in a good organized software testing process. Due to the poor organization in open-source software community, software defect discovery data show their obvious uncertainties such as mutations and randomness. In the early study of ABDOM/ABDOM-Q d this kind of process was excluded from the discussion. So it becomes an issue that whether ABDOM-Q d model can be applied to open-source community software defect discovery process and reveal new natures and characteristics. In order to answer the question, the normalization of b in ABDOM-Q d were discussed firstly under the curves paradigms and theirs actual significances discussion in conditions b×τ >0 and b×τ <; 0. With the discussion results, a software defect discovery cycle stability coefficient B was proposed and the improved model ABDOM-QB d with stronger describing capability was established. Then ABDOM-QB d was applied in a NASA's open-source project, which is a typical representative of open-source projects, to fit the software defect data and a good fitting result was obtained. Finally with the application results the model's applicability and the characteristics of open-source community software defects discovery process were preliminarily discussed.</description><subject>ABDOM-Qd</subject><subject>Communities</subject><subject>Defect Detecting</subject><subject>Fitting</subject><subject>Open source software</subject><subject>Open-source Community</subject><subject>Oscillators</subject><subject>Software Defects</subject><subject>Software testing</subject><isbn>9781479928828</isbn><isbn>1479928828</isbn><isbn>9781479928835</isbn><isbn>1479928836</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVjMtKAzEYRiMiKHV27tzkBabmNrks67RqoVJlCi7LTPIHIp0LSar07S3oxtX5Dh8chO4omVNKzMNH3azmjFA-p_oCFUZpKpQxTGteXf5zpq9RkdInIYQaqaRUN8iv-ymOX9DDkPE44MXjcvtavjvcDg6vc8KLaToE2-ZwPsOAtxMMZTMeowVcj31_HEI-4Wb0-buNgJfgwWa8DMmeo_GE3-JoIaVbdOXbQ4LijzO0e1rt6pdys31e14tNGQzJpRZEGyGYY5yq87ZOuM5WlRcEJGHEKl7xjltBqek677wSoB1tWdURLVnHZ-j-NxsAYD_F0LfxtJeqEkxq_gMyI1aA</recordid><startdate>201312</startdate><enddate>201312</enddate><creator>Zhitao He</creator><creator>Haihua Yan</creator><creator>Chao Liu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201312</creationdate><title>Improvement on ABDOM-Qd and Its Application in Open-Source Community Software Defect Discovery Process</title><author>Zhitao He ; Haihua Yan ; Chao Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-84089442d2317408cd4dbc55f40e6020c7353b3c4119bbfdf74e8d1a25b0862b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>ABDOM-Qd</topic><topic>Communities</topic><topic>Defect Detecting</topic><topic>Fitting</topic><topic>Open source software</topic><topic>Open-source Community</topic><topic>Oscillators</topic><topic>Software Defects</topic><topic>Software testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhitao He</creatorcontrib><creatorcontrib>Haihua Yan</creatorcontrib><creatorcontrib>Chao Liu</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 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>Zhitao He</au><au>Haihua Yan</au><au>Chao Liu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Improvement on ABDOM-Qd and Its Application in Open-Source Community Software Defect Discovery Process</atitle><btitle>2013 Fourth World Congress on Software Engineering</btitle><stitle>wcse</stitle><date>2013-12</date><risdate>2013</risdate><spage>84</spage><epage>90</epage><pages>84-90</pages><isbn>9781479928828</isbn><isbn>1479928828</isbn><eisbn>9781479928835</eisbn><eisbn>1479928836</eisbn><coden>IEEPAD</coden><abstract>ABDOM-Q d is a model to describe the characteristics of software defect discovery time-ordered process, such as periodicity, attenuation, oscillation, incremental and discrete. It can help testing participants to evaluate testing quality and to predict testing process with the time-ordered software defect discovery amounts in a good organized software testing process. Due to the poor organization in open-source software community, software defect discovery data show their obvious uncertainties such as mutations and randomness. In the early study of ABDOM/ABDOM-Q d this kind of process was excluded from the discussion. So it becomes an issue that whether ABDOM-Q d model can be applied to open-source community software defect discovery process and reveal new natures and characteristics. In order to answer the question, the normalization of b in ABDOM-Q d were discussed firstly under the curves paradigms and theirs actual significances discussion in conditions b×τ >0 and b×τ <; 0. With the discussion results, a software defect discovery cycle stability coefficient B was proposed and the improved model ABDOM-QB d with stronger describing capability was established. Then ABDOM-QB d was applied in a NASA's open-source project, which is a typical representative of open-source projects, to fit the software defect data and a good fitting result was obtained. Finally with the application results the model's applicability and the characteristics of open-source community software defects discovery process were preliminarily discussed.</abstract><pub>IEEE</pub><doi>10.1109/WCSE.2013.18</doi><tpages>7</tpages></addata></record> |
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| identifier | ISBN: 9781479928828 |
| ispartof | 2013 Fourth World Congress on Software Engineering, 2013, p.84-90 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | ABDOM-Qd Communities Defect Detecting Fitting Open source software Open-source Community Oscillators Software Defects Software testing |
| title | Improvement on ABDOM-Qd and Its Application in Open-Source Community Software Defect Discovery Process |
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