Name
Abstract | ||
|---|---|---|
During the execution of a software system, tremendous amounts of data are recorded, and such data provide valuable information on software runtime behavior analysis. This paper presents an approach on how to utilize process mining as an enabler to discover software behavioral models. To achieve this, we formally define the software event log and its transformation from original software execution ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TASE.2018.2844725 | IEEE Transactions on Automation Science and Engineering |
Keywords | Field | DocType |
Data mining,Software systems,Data models,Runtime,Analytical models,Software architecture | Data modeling,Petri net,Software engineering,Data analysis,Computer science,Behavioral modeling,Software system,Control engineering,Software,Business process discovery,Process mining | Journal |
Volume | Issue | ISSN |
15 | 4 | 1545-5955 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
1 | ||