Publications

@article{Lopez-Herrejon2014c,

title = {A Hitchhiker's Guide to Search-Based Software Engineering for Software Product Lines},

author = {Roberto E Lopez-Herrejon and Javier Ferrer and Francisco Chicano and Lukas Linsbauer and Alexander Egyed and Enrique Alba},

url = {http://arxiv.org/abs/1406.2823},

year  = {2014},

date = {2014-06-01},

journal = {ArXiv},

abstract = {Search Based Software Engineering (SBSE) is an emerging discipline that focuses on the application of search-based optimization techniques to software engineering problems. The capacity of SBSE techniques to tackle problems involving large search spaces make their application attractive for Software Product Lines (SPLs). In recent years, several publications have appeared that apply SBSE techniques to SPL problems. In this paper, we present the results of a systematic mapping study of such publications. We identified the stages of the SPL life cycle where SBSE techniques have been used, what case studies have been employed and how they have been analysed. This mapping study revealed potential venues for further research as well as common misunderstanding and pitfalls when applying SBSE techniques that we address by providing a guideline for researchers and practitioners interested in exploiting these techniques.},

keywords = {Testing Funcional},

pubstate = {published},

tppubtype = {article}

}

@article{Lopez-Herrejon2014,

title = {Towards a Benchmark and a Comparison Framework for Combinatorial Interaction Testing of Software Product Lines},

author = {Roberto E Lopez-Herrejon and Javier Ferrer and Francisco Chicano and Evelyn Nicole Haslinger and Alexander Egyed and Enrique Alba},

url = {http://arxiv.org/abs/1401.5367},

year  = {2014},

date = {2014-01-01},

journal = {ArXiv},

abstract = {As Software Product Lines (SPLs) are becoming a more pervasive development practice, their effective testing is becoming a more important concern. In the past few years many SPL testing approaches have been proposed, among them, are those that support Combinatorial Interaction Testing (CIT) whose premise is to select a group of products where faults, due to feature interactions, are more likely to occur. Many CIT techniques for SPL testing have been put forward; however, no systematic and comprehensive comparison among them has been performed. To achieve such goal two items are important: a common benchmark of feature models, and an adequate comparison framework. In this research-in-progress paper, we propose 19 feature models as the base of a benchmark, which we apply to three different techniques in order to analyze the comparison framework proposed by Perrouin et al. We identify the shortcomings of this framework and elaborate alternatives for further study.},

keywords = {Testing Funcional},

pubstate = {published},

tppubtype = {article}

}