Paper Info
Title
Applied process mining in software development
Abstract
Current study uses the event process logs of a custom software development process used internally in the IT department of a large automotive company. The target is to extract hidden information about the process, difficult to identify due to the wideness and complexity of the input data. The log file contains all incident records tracked during one release of a software product. This analysis was performed using process mining techniques and tools included in ProM Framework, an academic project of the Eindhoven Technical University. The paper describes the steps followed to extract the working process model, organizational network and statistical information. Based on the obtained results, an action plan is put in practice with the scope of improving the development process and the release result.
Year
DOI
Venue
2014
10.1109/SACI.2014.6840098
Applied Computational Intelligence and Informatics
Keywords
Field
DocType
data mining,software engineering,statistical analysis,Eindhoven technical university,IT department,ProM framework,applied process mining,automotive company,custom software development process,event process logs,hidden information extraction,input data complexity,log file,organizational network,statistical information,event log,heuristic miner,process mining,process model
Computer science,Custom software,Software,Business process modeling,Action plan,Business process discovery,Database,Software development,Goal-Driven Software Development Process,Process mining
Conference
Citations 
PageRank 
References 
2
0.69
2
Authors
2
Name
Order
Citations
PageRank
Laura Sebu122.04
Horia Ciocarlie248.23