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dc.contributor.advisorPulkkinen, Mirja
dc.contributor.authorMohammadnazar, Hojat
dc.date.accessioned2016-03-30T17:45:17Z
dc.date.available2016-03-30T17:45:17Z
dc.date.issued2016
dc.identifier.otheroai:jykdok.linneanet.fi:1525160
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/49220
dc.description.abstractMeasures taken to prevent faults from slipping through to operation can secure development of highly reliable software systems. One such measure is analyzing the root causes of reoccurring faults and preventing them from ever appearing again. PRORCA method was developed in order to provide a proactive, lightweight and flexible way for fault prevention. To this end, PRORCA method relies on expert knowledge of the development context and development practices to identify individuals’ erratic behaviors that can contribute to faults slipping through to operation. The development of the method was done according to teachings of design science research. Three expert interviews with representatives of a case company supported the development of PRORCA. The first interview helped the problem identification and solution generation, while the other two interviews were carried out with the purpose of demonstrating the use of the PRORCA method in two different projects. Using the PRORCA proved to be easy and insightful findings were drawn from conducting it with respect to individuals’ erratic behavior in each project. Proactive analysis of faults using the PRORCA method supports development of highly reliable software systems in a simple, flexible and resource-friendly manner.
dc.format.extent1 verkkoaineisto (95 s.)
dc.language.isoeng
dc.rightsJulkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.fi
dc.rightsThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.en
dc.titleImproving fault prevention with proactive root cause analysis (PRORCA method)
dc.identifier.urnURN:NBN:fi:jyu-201603301967
dc.type.ontasotPro gradufi
dc.type.ontasotMaster's thesisen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.tiedekuntaFaculty of Information Technologyen
dc.contributor.laitosTietojenkäsittelytieteiden laitosfi
dc.contributor.laitosDepartment of Computer Science and Information Systemsen
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTietojenkäsittelytiedefi
dc.date.updated2016-03-30T17:45:18Z
dc.rights.accesslevelopenAccessfi
dc.contributor.oppiainekoodi601
dc.subject.ysotietokoneohjelmat
dc.subject.ysoviat


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