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automated process quality assurance for distributed software development
Zhai Jian; Yang Qiusong; Yang Ye; Xiao Junchao; Wang Qing; Li Mingshu
2009
Conference Name2nd International Conference on Software Engineering Approaches for Offshore and Outsourced Development
Pages196-210
Conference DateJUL 02-03,
Conference PlaceZurich, SWITZERLAND
Indexed Type其他
Publish PlaceHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
PublisherSOFTWARE ENGINEERING APPROACHES FOR OFFSHORE AND OUTSOURCED DEVELOPMENT
ISSN1865-1348
ISBN978-3-642-01855-8
DepartmentZhai, Jian; Yang, Qiusong; Yang, Ye; Xiao, Junchao; Wang, Qing; Li, Mingshu Chinese Acad Sci, Inst Software, Lab Internet Software Technol, Beijing 100190, Peoples R China.
English AbstractAs required or implicated in many process improvement or assessment models, Process Quality Assurance (PQA) is introduced to objectively evaluate actual software processes against applicable processes descriptions, standards, and procedures and to identify potential noncompliance. In a Distributed Software Development (DSD) environment, PQA is also an absolute necessity to ensure that each development site behaves as expected and high quality software is collaboratively developed. However, several problems brought by the distribution nature of DSD, such as different interpretations of standard processes among development sites, inconsistent criteria for identifying noncompliance, visibility into development activities of all sites being challenging, hidden conflicts or noncompliance for political issues within a site, substantial investment in setting tip PQA teams in each site etc., can undermine the objectivity and effectiveness of PQA activities. To alleviate these problems, we introduce an approach in this paper that automates PQA activities for some routine checking tasks in a DSD environment. In the approach, a process model describing the actual software process is automatically built from each sites repository and, then, the model is checked against logic formulae derived from a common checklist to detect noncompliance. Experiment results show that the approach is helpful to ensure that PQA activities in each site can be conducted according to the same guideline and the objectivity of PQA results is guaranteed.
KeywordDistributed Software Development
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8364
Collection互联网软件技术实验室
Recommended Citation
GB/T 7714
Zhai Jian,Yang Qiusong,Yang Ye,et al. automated process quality assurance for distributed software development[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:SOFTWARE ENGINEERING APPROACHES FOR OFFSHORE AND OUTSOURCED DEVELOPMENT,2009:196-210.
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