A Context-Aware Recommender System for Extended Software Product Line Configurations

Pereira, Juliana Alves; Schulze, Sandro; Thüm, Thomas; Ribeiro, Márcio; Saake, Gunter

doi:10.1145/3168365.3168373

Cited by 10 publications

(4 citation statements)

References 33 publications

(43 reference statements)

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“…For the evaluation of the application engineer's perspective, we use two real-world product lines and their real-world configurations [36][37][38]. Product line Agrib consists of 2008 features and 5749 configurations.…”

Section: Setup Of Application Engineer's Perspectivementioning

confidence: 99%

Guiding the evolution of product-line configurations

et al. 2021

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A product line is an approach for systematically managing configuration options of customizable systems, usually by means of features. Products are generated for configurations consisting of selected features. Product-line evolution can lead to unintended changes to product behavior. We illustrate that updating configurations after product-line evolution requires decisions of both, domain engineers responsible for product-line evolution as well as application engineers responsible for configurations. The challenge is that domain and application engineers might not be able to interact with each other. We propose a formal foundation and a methodology that enables domain engineers to guide application engineers through configuration evolution by sharing knowledge on product-line evolution and by defining automatic update operations for configurations. As an effect, we enable knowledge transfer between those engineers without the need for interactions. We evaluate our methodology on four large-scale industrial product lines. The results of the qualitative evaluation indicate that our method is flexible enough for real-world product-line evolution. The quantitative evaluation indicates that we detect product behavior changes for up to $$55.3\%$$ 55.3 % of the configurations which would not have been detected using existing methods.

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Section: Setup Of Application Engineer's Perspectivementioning

confidence: 99%

Guiding the evolution of product-line configurations

et al. 2021

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“…The same authors in the work [14] present a solution that uses a recommender system to predict the features during the configuration of products using contextual information of the users, specifically, the requirements that the users define for a product. In the first proposal the user defines the requirements of the product to be configured, then the system performs a search to include historical data based on the specified requirements.…”

Section: Related Workmentioning

confidence: 99%

“…The column ''Tool'' in Table 9 indicates whether the proposals include some prototype tool as part of contributions. All the proposals, except those presented by Pereira et al [14], [15], propose a tool for configuring products in an SPL. However, RESDEC is the only tool that has been implemented using a well-defined scheme of recommender systems; and besides, it is the only one that incorporates a set of algorithms that are executed in three different scenarios that validate the platform's capacity in terms of operationalization and scalability.…”

Section: Related Workmentioning

confidence: 99%

Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress

et al. 2019

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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 components set to implement a given configuration is a challenging task due to the high number of combinations and options which could be selected. In certain scenarios, it is possible to find information associated with the components which could help in this selection task, such as user ratings. In this paper, we introduce a component-based recommender system, called (REcommender System that suggests implementation Components from selecteD fEatures), which uses information associated with the implementation components to make recommendations in the domain of the SPL configuration. We also provide a RESDEC reference implementation that supports collaborative-based and content-based filtering algorithms to recommend (i.e., implementation components) regarding WordPress-based websites configuration. The empirical results, on a knowledge base with 680 plugins and 187 000 ratings by 116 000 users, show promising results. Concretely, this indicates that it is possible to guide the user throughout the implementation components selection with a margin of error smaller than 13% according to our evaluation.

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“…There are several tools in the literature to support the SPL configuration process [3,[10][11][12][13][14]. However, to the best of our knowledge and understanding, none of the tools developed so far supports the selection of implementation components when configure a product.…”

Section: Introductionmentioning

confidence: 99%

Resdec

Rodas-Silva

Galindo

García-Gutiérrez

et al. 2019

Proceedings of the 23rd International Systems and Software Product Line Conference - Volume B

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Software product lines (SPL) management is one of the most important activities for the software engineer and it represents one of the key pieces of software product line engineering. When a software system grow fast, configuring a product becomes a costly and error-prone activity due to the amount of features available for configuration. This process becomes more complex when for each feature, there is more than one component that implements it. Currently the tools available for configuration management do not have automated mechanisms to facilitate the optimal components selection that meet the functions required by a given product. In this paper, we introduce a prototype component-based recommender system called RESDEC (REcommender System that suggest implementation Components from selecteD fEatures) designed to manage the best implementation components alternatives. Our tool is validated using WordPress-based websites where the implementation components are represented by plugins and the recommendations generated by RESDEC help interested parties in the search and efficient plugins selection to configure websites. CCS CONCEPTS• Software and its engineering → Software development pro-cess management; • Software product lines;␣

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A Context-Aware Recommender System for Extended Software Product Line Configurations

Cited by 10 publications

References 33 publications

Guiding the evolution of product-line configurations

Guiding the evolution of product-line configurations

Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress

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