Call for Papers

The objective of the 9th 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 to better understand, from an empirical viewpoint, the strengths and weaknesses of technology in use and new technologies, with the expectation of furthering the field of software engineering.

The workshop focuses on the process, design, and structure of empirical studies as well as the results of specific studies. The workshop welcomes both original and replicated studies, varying from controlled experiments to field studies, from quantitative to qualitative. We solicit the following two types of submissions: full research papers (max 6 pages) for oral presentations and abstracts (max 700 words) for poster presentations.

Accepted research papers will be published in the conference proceedings with an IEEE catalog number and ISBN number. The proceedings will be submitted to IEEE Xplore for publication.

Note that IWESEP 2018 is organized independently from APSEC 2018.

General call

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
  • Evaluation of automated patch generation techniques.
  • Reports on the benefits derived from using software development environments
  • Development or comparison of predictive models for software quality (defects, vulnerabilities, 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