References of "Acher, Mathieu"
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See detailTowards Learning-Aided Configuration in 3D Printing: Feasibility Study and Application to Defect Prediction
Amand, Benoit; Cordy, Maxime UL; Heymans, Patrick et al

in Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems, VAMOS 2019, Leuven, Belgium, February 06-08, 2019 (2019, February)

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See detailProceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation
Arcelli, Francesca; Walter, Bartosz; Ampatzoglou, Apostolos et al

Book published by ACM (2019)

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See detailUniform Sampling of SAT Solutions for Configurable Systems: Are We There Yet?
Plazar, Quentin; Acher, Mathieu; Perrouin, Gilless et al

in 12th IEEE Conference on Software Testing, Validation and Verification, ICST 2019, Xi'an, China, April 22-27, 2019 (2019)

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See detailModeling Variability in the Video Domain: Language and Experience Report
Alferez, Mauricio UL; Acher, Mathieu; Galindo, Jose et al

in Software Quality Journal (2018)

In an industrial project, we addressed the challenge of developing a software-based video generator such that consumers and providers of video processing algorithms can benchmark them on a wide range of ... [more ▼]

In an industrial project, we addressed the challenge of developing a software-based video generator such that consumers and providers of video processing algorithms can benchmark them on a wide range of video variants. This article aims to report on our positive experience in modeling, controlling, and implementing software variability in the video domain. We describe how we have designed and developed a variability modeling language, called VM, resulting from the close collaboration with industrial partners during 2 years. We expose the specific requirements and advanced variability constructs; we developed and used to characterize and derive variations of video sequences. The results of our experiments and industrial experience show that our solution is effective to model complex variability information and supports the synthesis of hundreds of realistic video variants. From the software language perspective, we learned that basic variability mechanisms are useful but not enough; attributes and multi-features are of prior importance; meta-information and specific constructs are relevant for scalable and purposeful reasoning over variability models. From the video domain and software perspective, we report on the practical benefits of a variability approach. With more automation and control, practitioners can now envision benchmarking video algorithms over large, diverse, controlled, yet realistic datasets (videos that mimic real recorded videos)—something impossible at the beginning of the project. [less ▲]

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See detailAutomated extraction of product comparison matrices from informal product descriptions
Ben Nasr, Sana; Bécan, Guillaume; Acher, Mathieu et al

in Journal of Systems and Software (2017), 124

Domain analysts, product managers, or customers aim to capture the important features and differences among a set of related products. A case-by-case reviewing of each product description is a laborious ... [more ▼]

Domain analysts, product managers, or customers aim to capture the important features and differences among a set of related products. A case-by-case reviewing of each product description is a laborious and time-consuming task that fails to deliver a condense view of a family of product. In this article, we investigate the use of automated techniques for synthesizing a product comparison matrix (PCM) from a set of product descriptions written in natural language. We describe a tool-supported process, based on term recognition, information extraction, clustering, and similarities, capable of identifying and organizing features and values in a PCM – despite the informality and absence of structure in the textual descriptions of products. We evaluate our proposal against numerous categories of products mined from BestBuy. Our empirical results show that the synthesized PCMs exhibit numerous quantitative, comparable information that can potentially complement or even refine technical descriptions of products. The user study shows that our automatic approach is capable of extracting a significant portion of correct features and correct values. This approach has been implemented in MatrixMiner a web environment with an interactive support for automatically synthesizing PCMs from informal product descriptions. MatrixMiner also maintains traceability with the original descriptions and the technical specifications for further refinement or maintenance by users. [less ▲]

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See detailMatrixMiner: A Red Pill to Architect Informal Product Descriptions in the Matrix
Ben Nasr, Sana; Becan, Guillaume; Acher, Mathieu et al

in 10th Joint Meeting on Foundations of Software Engineering (ESEC/FSE 2015), Bergamo, Italy, August 30 - September 4, 2015 (2015, September)

Detailed reference viewed: 147 (12 UL)