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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2015 Vol.3(4): 238-244 ISSN: 2301-3559
DOI: 10.7763/LNSE.2015.V3.198

An Approach to Handling Software Process Deviations

Rui Zhu, Fei Dai, Qi Mo, Yong Yu, Leilei Lin, and Tong Li
Abstract—Since software processes are permanently dynamic evolving during software process enactment, the problems on software process deviation are increasingly received more attention. In process-centered Software Engineering Environments (PSEE), the enacted software process model is always inconsistence with the observed process obtained by PSEE. In order to address this problem, this paper presents a framework which structures the field of process deviation analysis and identities, a Process Behavior Space Expression based on process algebra and judgment rules to decide whether handle the deviation or not. This approach can effectively find and handle the prevalent deviation problems in the software process implementation, through dealing with the deviation so as to improve the software process, and ultimately promote the quality of software products.

Index Terms—Software process deviation, process algebra, process behavior space expression, deviation judgment rules, deviation handling.

Rui Zhu and Tong Li are with Yunnan University, Kunming, Yunnan, China (e-mail: ray0209055@gmail.com).


Cite: Rui Zhu, Fei Dai, Qi Mo, Yong Yu, Leilei Lin, and Tong Li, "An Approach to Handling Software Process Deviations," Lecture Notes on Software Engineering vol. 3, no. 4, pp. 238-244, 2015.

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