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Mostrando ítems 1-10 de 11
Artículo
Empirical Evidence of the Usage of Programming Languages in the Educational Process
(IEEE Computer Society, 2021)
Contribution: A systematic literature review on the empirical evidence regarding the usage of programming languages for learning purposes is presented. The review analyzes different methods and tools at different ...
Artículo
Automated analysis of feature models: Quo vadis?
(Springer, 2018)
Feature models have been used since the 90's to describe software product lines as a way of reusing common parts in a family of software systems. In 2010, a systematic literature review was published summarizing the advances ...
Artículo
Empirical software product line engineering: A systematic literature review
(Elsevier, 2020)
Context: The adoption of Software Product Line Engineering (SPLE) is usually only based on its theoretical benefits instead of empirical evidences. In fact, there is no work that synthesizes the empirical studies on SPLE. ...
Artículo
An assessment of search-based techniques for reverse engineering feature models
(Elsevier, 2015)
Successful software evolves from a single system by adding and changing functionality to keep up with users’ demands and to cater to their similar and different requirements. Nowadays it is a common practice to offer a ...
Artículo
Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress
(IEEE Computer Society, 2019)
In software products line (SPL), there may be features which can be implemented by different components, which means there are several implementations for the same feature. In this context, the selection of the best ...
Artículo
Open Source Adoption Factors-A Systematic Literature Review
(IEEE Computer Society, 2020)
Nowadays, Free/Libre/OpenSource Software (FLOSS) is becoming a strategic option for many organizations in the public and the private sector. The lack of well defined guidelines for IT managers may jeopardize the FLOSS ...
Artículo
Evolving feature model configurations in software product lines
(Elsevier, 2014)
The increasing complexity and cost of software-intensive systems has led developers to seek ways of reusing software components across development projects. One approach to increasing software reusability is to develop ...
Artículo
A Monte Carlo tree search conceptual framework for feature model analyses
(ElSevier, 2023-01)
Challenging domains of the future such as Smart Cities, Cloud Computing, or Industry 4.0 expose highly variable systems with colossal configuration spaces. The automated analysis of those systems’ variability has often ...
Artículo
DirectDebug: Automated Testing and Debugging of Feature Models
(Cornell University, 2021)
Variability models (e.g., feature models) are a common way for the representation of variabilities and commonalities of software artifacts. Such models can be translated to a logical representation and thus allow different ...
Artículo
Supporting distributed product configuration by integrating heterogeneous variability modeling approaches
(Elsevier, 2015)
Context In industrial settings products are developed by more than one organization. Software vendors and suppliers commonly typically maintain their own product lines, which contribute to a larger (multi) product line ...