The workshop aims at gathering together researchers and practitioners to discuss experiences in the application of state of the art approaches to measure, assess and evaluate the quality of both software systems as well as software development processes in general and software test processes in particular.
Software development organizations are always forced to develop software in the "right" quality. Hence, quality specification and quality assurance are crucial. Although there are lots of approaches to deal with quantitative quality aspects, it is still challenging to choose a suitable set of techniques that best fit to the specific project and organizations constraints.
Even though approaches, methods, and techniques are known for quite some time now, little effort has been spent on the exchange on the real world problems with quantitative approaches. For example, only limited research has been devoted to empirically evaluate risks, efficiency or limitations of different testing techniques in industrial settings.
Hence, one main goal of the workshop is to exchange experience, present new promising approaches and to discuss how to set up, organize, and maintain quantitative approaches to software quality.
The workshop proceedings will be published at CEUR-WS, which is indexed by dblp, the world's most comprehensive open bibliographic data service in computer science.
Authors of accepted papers have to register for the workshop.
Call for paperSubmit paper
Draft paper submission deadline：2018-10-01
Paper submissions must be in English and conform to the IEEE Dual Column format. The paper length of at most 8 pages will be strictly enforced.
Papers are to be submitted to the QuASoQ EasyChair paper submission system.
Topics of submission
The topics of interest include, but are not restricted to the following:
- New approaches to measurement, evaluation, comparison and improvement of software quality
- Metrics and quantitative approaches in agile projects
- Case studies and industrial experience reports on the application of quantitative approaches to software quality
- Tools, infrastructure and environments supporting quantitative approaches
- Empirical studies, evaluation and comparison of measurement techniques or models
- Quantitative approaches to test process improvement, test strategies or testability
- Empirical evaluations or comparisons of testing techniques in industrial settings