Performance analysis of software maintenance process using stochastic Petri nets

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Published: Apr 11, 2018
Updated: 2018-04-11
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2018-04-11 (1)
DOI: https://doi.org/10.18844/gjcs.v8i1.3285

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Muhammad Nabeel
Department of Electrical and Computer Engineering, Centre for Advanced Studies in Engineering, 19-Attaturk Avenue, G-5/1, 41000 Islamabad, Pakistan
Zeeshan Anwar
Department of Computer Software Engineering, National University of Sciences and Technology, H-12, 41000 Islamabad, Pakistan
Ali Ahsan
Foundation University, 41000 Islamabad, Pakistan

Abstract

Software maintenance is a time taking activity in the real world. Execution time of software maintenance process may get increased due to interdepartmental communication, thus, increasing the cost and decreasing the performance of the process. We suggested performance evaluation of software maintenance process through the transformation of activity diagram into generalised stochastic Petri nets (GSPN). For this study, execution time and cost of maintenance process are defined as performance measures, and the role-based approach is used to understand the flow of software maintenance activities in a software organisation. Activity diagram is constructed to be transformed into GSPN. We used PIPE2 to analyse the GSPN. PIPE2 calculates average number of tokens on a place in the GSPN, throughput of timed transition and state space analysis. State space involves calculation of the reachability of the GSPN net that shows whether a GSPN holds the property of safeness, boundness and is deadlock free.


 


Keywords: Generalised stochastic Petri nets (GSPN), GSPN analysis, performance evaluation, performance modelling, software maintenance process, stochastic Petri nets.


 

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How to Cite
Nabeel, M., Anwar, Z., & Ahsan, A. (2018). Performance analysis of software maintenance process using stochastic Petri nets. Global Journal of Computer Sciences: Theory and Research, 8(1), 01–13. https://doi.org/10.18844/gjcs.v8i1.3285
Issue
Vol. 8 No. 1 (2018): March
Section
Articles

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