DocumentCode
2272195
Title
Fitting a workflow model to captured development data
Author
Zhang, Min ; Hochstein, Lorin
Author_Institution
Garmin Int., Wichita, KS, USA
fYear
2009
fDate
15-16 Oct. 2009
Firstpage
179
Lastpage
190
Abstract
In this paper, we introduce a semi-automated process called software engineering workflow analysis (SEWA) for developing heuristics that analyze captured data to identify where programmers spend their time. To evaluate our process, we ran two case studies in the domain of high-performance computing to generate programmer workflow models for small problems, cross-checking our results against direct observations.
Keywords
data handling; software engineering; workflow management software; development data; semi-automated process; software engineering workflow analysis; workflow model; Data analysis; Debugging; Productivity; Programming profession; Radio access networks; Sequential analysis; Software engineering; Software measurement; Software tools; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
Conference_Location
Lake Buena Vista, FL
ISSN
1938-6451
Print_ISBN
978-1-4244-4842-5
Electronic_ISBN
1938-6451
Type
conf
DOI
10.1109/ESEM.2009.5315990
Filename
5315990
Link To Document