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 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.

by Michal Antkiewicz on July 15, 2015

UPDATE: The submission deadline has been extended to July 22nd.

We're organizing a workshop Modelling in Automotive Software Engineering @ MODELS'15. We have a great program committee and we invite people to submit a paper and/or attend in September.

by on May 21, 2015

In this paper, we describe a combined SAT solver + computer algebra system that we use to extend known results on two graph-theoretic conjectures related to hypercubes.