Analysis of Process Mining Model for Software Reliability Dataset using HMM

V  Priyadharshini  and A  Malathi nbsp

doi:10.17485/ijst/2016/v9i4/52931

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Analysis of Process Mining Model for Software Reliability Dataset using HMM

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i4/52931

Year: 2016, Volume: 9, Issue: 4, Pages: 1-5

Original Article

Analysis of Process Mining Model for Software Reliability Dataset using HMM

V. Priyadharshini^* and A. Malathi

PG and Research Department of CS, Government Arts College, Coimbatore – 18, Tamil Nadu, India; [email protected], [email protected]

*Author For Correspondence
V. Priyadharshini
PG and Research Department of CS, Government Arts College, Coimbatore – 18, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Process mining analyzes business processes constructed on event logs. To derive a process model from a log of recorded events, HMM and reliability metrics are used to derive the required petri net. Two software reliability datasets are used to derive petri nets. This dataset describes particular software’s failure cycle. Using this failure cycle, its corresponding event log is recorded. HMM and software reliability are used to track recorded event logs.

Keywords: Helix and RALIC Dataset, Process Mining, Process Discovery, Reliability Metrics, Software Reliability