This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
A Retrospective Study of Software Analytics Projects: In-Depth Interviews with Practitioners
Sept.-Oct. 2013 (vol. 30 no. 5)
pp. 54-61
A. T. Misirli, Univ. of Oulu, Oulu, Finland
B. Caglayan, Bogazici Univ., Istanbul, Turkey
A. Bener, Ryerson Univ., Toronto, Canada
B. Turhan, Univ. of Oulu, Oulu, Finland
Software analytics guide practitioners in decision making throughout the software development process. In this context, prediction models help managers efficiently organize their resources and identify problems by analyzing patterns on existing project data in an intelligent and meaningful manner. Over the past decade, the authors have worked with software organizations to build metric repositories and predictive models that address process-, product-, and people-related issues in practice. This article shares their experience over the years, reflecting the expectations and outcomes both from practitioner and researcher viewpoints.
Index Terms:
Software analytics,Decision making,Predictive models,Estimation,Software development,effort estimation,Software analytics,Decision making,Predictive models,Estimation,Software development,interviews,software analytics,defect prediction
Citation:
A. T. Misirli, B. Caglayan, A. Bener, B. Turhan, "A Retrospective Study of Software Analytics Projects: In-Depth Interviews with Practitioners," IEEE Software, vol. 30, no. 5, pp. 54-61, Sept.-Oct. 2013, doi:10.1109/MS.2013.93
Usage of this product signifies your acceptance of the Terms of Use.