Towards quantitative software reliability assessment in incremental development processes
The iterative and incremental development is becoming a major development process model in industry, and allows us for a good deal of parallelism between development and testing. In this paper we develop a quantitative software reliability assessment method in incremental development processes, base...
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Software and its engineering
> Software creation and management
> Software verification and validation
Software and its engineering
> Software creation and management
> Software verification and validation
> Empirical software validation
Software and its engineering
> Software creation and management
> Software verification and validation
> Process validation
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creator | Fujii, Toshiya Dohi, Tadashi Fujiwara, Takaji |
description | The iterative and incremental development is becoming a major development process model in industry, and allows us for a good deal of parallelism between development and testing. In this paper we develop a quantitative software reliability assessment method in incremental development processes, based on the familiar non-homogeneous Poisson processes. More specifically, we utilize the software metrics observed in each incremental development and testing, and estimate the associated software reliability measures. In a numerical example with a real incremental developmental project data, it is shown that the estimate of software reliability with a specific model can take a realistic value, and that the reliability growth phenomenon can be observed even in the incremental development scheme. |
doi_str_mv | 10.1145/1985793.1985800 |
format | Conference Proceeding |
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In this paper we develop a quantitative software reliability assessment method in incremental development processes, based on the familiar non-homogeneous Poisson processes. More specifically, we utilize the software metrics observed in each incremental development and testing, and estimate the associated software reliability measures. In a numerical example with a real incremental developmental project data, it is shown that the estimate of software reliability with a specific model can take a realistic value, and that the reliability growth phenomenon can be observed even in the incremental development scheme.</description><identifier>ISSN: 0270-5257</identifier><identifier>ISBN: 9781450304450</identifier><identifier>ISBN: 1450304451</identifier><identifier>EISSN: 1558-1225</identifier><identifier>EISBN: 9781450304450</identifier><identifier>EISBN: 1450304451</identifier><identifier>DOI: 10.1145/1985793.1985800</identifier><language>eng</language><publisher>New York, NY, USA: ACM</publisher><subject>data analysis ; Data models ; General and reference -- Cross-computing tools and techniques -- Reliability ; General and reference -- Cross-computing tools and techniques -- Validation ; incremental development ; maximum likelihood estimation ; non-homogeneous poisson processes ; Software ; Software and its engineering -- Software creation and management -- Software verification and validation ; Software and its engineering -- Software creation and management -- Software verification and validation -- Empirical software validation ; Software and its engineering -- Software creation and management -- Software verification and validation -- Process validation ; Software and its engineering -- Software organization and properties -- Extra-functional properties -- Software reliability ; Software metrics ; Software reliability ; Testing ; Theory of computation -- Semantics and reasoning -- Program reasoning -- Program verification</subject><ispartof>2011 33rd International Conference on Software Engineering (ICSE), 2011, p.41-50</ispartof><rights>2011 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/6032443$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27904,54899</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6032443$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Fujii, Toshiya</creatorcontrib><creatorcontrib>Dohi, Tadashi</creatorcontrib><creatorcontrib>Fujiwara, Takaji</creatorcontrib><title>Towards quantitative software reliability assessment in incremental development processes</title><title>2011 33rd International Conference on Software Engineering (ICSE)</title><addtitle>ICSE</addtitle><description>The iterative and incremental development is becoming a major development process model in industry, and allows us for a good deal of parallelism between development and testing. In this paper we develop a quantitative software reliability assessment method in incremental development processes, based on the familiar non-homogeneous Poisson processes. More specifically, we utilize the software metrics observed in each incremental development and testing, and estimate the associated software reliability measures. In a numerical example with a real incremental developmental project data, it is shown that the estimate of software reliability with a specific model can take a realistic value, and that the reliability growth phenomenon can be observed even in the incremental development scheme.</description><subject>data analysis</subject><subject>Data models</subject><subject>General and reference -- Cross-computing tools and techniques -- Reliability</subject><subject>General and reference -- Cross-computing tools and techniques -- Validation</subject><subject>incremental development</subject><subject>maximum likelihood estimation</subject><subject>non-homogeneous poisson processes</subject><subject>Software</subject><subject>Software and its engineering -- Software creation and management -- Software verification and validation</subject><subject>Software and its engineering -- Software creation and management -- Software verification and validation -- Empirical software validation</subject><subject>Software and its engineering -- Software creation and management -- Software verification and validation -- Process validation</subject><subject>Software and its engineering -- Software organization and properties -- Extra-functional properties -- Software reliability</subject><subject>Software metrics</subject><subject>Software reliability</subject><subject>Testing</subject><subject>Theory of computation -- Semantics and reasoning -- Program reasoning -- Program verification</subject><issn>0270-5257</issn><issn>1558-1225</issn><isbn>9781450304450</isbn><isbn>1450304451</isbn><isbn>9781450304450</isbn><isbn>1450304451</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNqNkDlPAzEQhc0lEYXUFDRb0mwYX3uUKOKSItGEgsqatceSYZMNaxPEv2eXpKJCGs3TzPf0isfYJYc550rf8LrSZS3no1YAR2xWl9UAQIIa9jGbcK2rnAuhT_6wUzYBUUKuhS7P2SzGNwDgXIBWxYS9rrov7F3MPj5xk0LCFHaUxc6n4U1ZT23AJrQhfWcYI8W4pk3KwmYY29N4YJs52lHbbX_Rtu8sjc4LduaxjTQ76JS93N-tFo_58vnhaXG7zFFymXJXO0KPHJWT0IAndLJGq2qQFsH6whW-Aueg4V7YkttaO1UKJ1GK0hPJKbva5wYiMts-rLH_NgVIoZQc6PWeol2bpuveo-Fgxk7NoVNz6HSwzv9pNU0fyMsfDvJzhQ</recordid><startdate>20110521</startdate><enddate>20110521</enddate><creator>Fujii, Toshiya</creator><creator>Dohi, Tadashi</creator><creator>Fujiwara, Takaji</creator><general>ACM</general><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20110521</creationdate><title>Towards quantitative software reliability assessment in incremental development processes</title><author>Fujii, Toshiya ; Dohi, Tadashi ; Fujiwara, Takaji</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a313t-d9deafa1a4d30b0fead39ac4903ca0cf6d6f80dd0b1f2c71c95d472d3a327fee3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>data analysis</topic><topic>Data models</topic><topic>General and reference -- Cross-computing tools and techniques -- Reliability</topic><topic>General and reference -- Cross-computing tools and techniques -- Validation</topic><topic>incremental development</topic><topic>maximum likelihood estimation</topic><topic>non-homogeneous poisson processes</topic><topic>Software</topic><topic>Software and its engineering -- Software creation and management -- Software verification and validation</topic><topic>Software and its engineering -- Software creation and management -- Software verification and validation -- Empirical software validation</topic><topic>Software and its engineering -- Software creation and management -- Software verification and validation -- Process validation</topic><topic>Software and its engineering -- Software organization and properties -- Extra-functional properties -- Software reliability</topic><topic>Software metrics</topic><topic>Software reliability</topic><topic>Testing</topic><topic>Theory of computation -- Semantics and reasoning -- Program reasoning -- Program verification</topic><toplevel>online_resources</toplevel><creatorcontrib>Fujii, Toshiya</creatorcontrib><creatorcontrib>Dohi, Tadashi</creatorcontrib><creatorcontrib>Fujiwara, Takaji</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fujii, Toshiya</au><au>Dohi, Tadashi</au><au>Fujiwara, Takaji</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Towards quantitative software reliability assessment in incremental development processes</atitle><btitle>2011 33rd International Conference on Software Engineering (ICSE)</btitle><stitle>ICSE</stitle><date>2011-05-21</date><risdate>2011</risdate><spage>41</spage><epage>50</epage><pages>41-50</pages><issn>0270-5257</issn><eissn>1558-1225</eissn><isbn>9781450304450</isbn><isbn>1450304451</isbn><eisbn>9781450304450</eisbn><eisbn>1450304451</eisbn><abstract>The iterative and incremental development is becoming a major development process model in industry, and allows us for a good deal of parallelism between development and testing. In this paper we develop a quantitative software reliability assessment method in incremental development processes, based on the familiar non-homogeneous Poisson processes. More specifically, we utilize the software metrics observed in each incremental development and testing, and estimate the associated software reliability measures. In a numerical example with a real incremental developmental project data, it is shown that the estimate of software reliability with a specific model can take a realistic value, and that the reliability growth phenomenon can be observed even in the incremental development scheme.</abstract><cop>New York, NY, USA</cop><pub>ACM</pub><doi>10.1145/1985793.1985800</doi><tpages>10</tpages></addata></record> |
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identifier | ISSN: 0270-5257 |
ispartof | 2011 33rd International Conference on Software Engineering (ICSE), 2011, p.41-50 |
issn | 0270-5257 1558-1225 |
language | eng |
recordid | cdi_acm_books_10_1145_1985793_1985800 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | data analysis Data models General and reference -- Cross-computing tools and techniques -- Reliability General and reference -- Cross-computing tools and techniques -- Validation incremental development maximum likelihood estimation non-homogeneous poisson processes Software Software and its engineering -- Software creation and management -- Software verification and validation Software and its engineering -- Software creation and management -- Software verification and validation -- Empirical software validation Software and its engineering -- Software creation and management -- Software verification and validation -- Process validation Software and its engineering -- Software organization and properties -- Extra-functional properties -- Software reliability Software metrics Software reliability Testing Theory of computation -- Semantics and reasoning -- Program reasoning -- Program verification |
title | Towards quantitative software reliability assessment in incremental development processes |
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