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IWESEP 2014 - 6th International Workshop on Empirical Software Engineering in Practice (IWESEP 2014)

Date2014-12-01 - 2014-12-05

Deadline2014-06-18

VenueSantiago, Chile Chile

Keywords

Websitehttps://sites.google.com/site/iwesep2014

Topics/Call fo Papers

The objective of the 5th International Workshop on Empirical Software Engineering in Practice (IWESEP) is to foster the development of the area by providing a forum where researchers and practitioners can report on and discuss new research results and applications in the area of empirical software engineering. The workshop encourages the exchange of ideas within the international community so as to be able to understand, from an empirical viewpoint, the strengths and weaknesses of technology in use and new technologies, with the expectation of furthering the more generic field of software engineering.
The workshop focuses on the processes, design and structure of empirical studies as well as the results of specific studies. These studies may be on original or replicated studies, varying from controlled experiments to field studies, from quantitative to qualitative. We solicit full papers (max 6 pages) .
Accepted papers will be submitted to the IEEE Computer Society Digital Library and IEEE Xplore.
Topics of interest include, but are not limited to:
Empirical studies of software process and product
Comparison of cost estimation techniques
Analysis of the effects of design methods and characteristics
Evaluation of the readability of coding styles
Development, derivation and/or comparison of organizational models of software development
Evaluation of testing methodologies
Reports on the benefits derived from using software development environments
Development of predictive models of defect rates and reliability from real data
Infrastructure issues, such as measurement theory, experimental design, qualitative modeling and analysis approaches
Experiences with research methods such as grounded theory, protocol studies or families of experiments
Industrial experience in process improvement
Quality measurement
Process modeling and applications in industry
Experience management

Last modified: 2014-03-30 15:00:49