About the GSD Lab

Generative software development aims at modeling and implementing system families such that a desired system can be automatically generated from a specification written in one or more textual or graphical domain-specific languages.

Recent News

by Michal Antkiewicz on September 21, 2015

This is a major release of the web tools. For details, see Release 0.4.1 post.

This release of the web tools works with the corresponding release of the compiler and backends. For details, see Release 0.4.1 post.

by Michal Antkiewicz on August 21, 2015

We're organizing a workshop Modelling in Automotive Software Engineering @ MODELS'15. We have just posted the workshop program and we invite you to attend in September.

UPDATE (Sep 22, 2015): The PDFs of the papers are now available for download from the workshop's page.

by Jianmei Guo on July 31, 2015

Our papers "Cost-Efficient Sampling for Performance Prediction of Configurable Systems" (details) and "Performance Prediction of Configurable Software Systems by Fourier Learning" (details) have been accepted as full technical papers (acceptance rate: 60/289 ≈ 21%) at the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE 2015).

by Michal Antkiewicz on July 29, 2015

This is a major release of the compiler. For details, see Release 0.4.0 post.

by Leonardo Passos on July 20, 2015

In this paper, we perform a statistical analysis of three feature-annotation metrics (e.g., scattering degree) applied to a corpus of 20 open-source systems. In particular, we investigate the distribution shape of our target metrics and extract thresholds (limits) that could be used by practitioners to control the evolution of feature annotations in their own evolving systems.