Variability Modeling in a Component-Based Domain Engineering Process

Blois, A.P.T.B.; Oliveira, Regiane Felipe de; Maia, Natanael; Werner, Cláudia Maria Lima; Becker, Karin

doi:10.1007/11763864_31

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…To this end, the Odyssey-FEX notation [1] was used, due to the researchers' previous knowledge on its syntax and to its wide-scope representation model, comprising characteristics such as category, variability and optionality.…”

Section: Feature Modelmentioning

confidence: 99%

An information visualization feature model for supporting the selection of software visualizations

Vasconcelos

Schots

Werner

2014

Proceedings of the 22nd International Conference on Program Comprehension

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Software development comprises the execution of a variety of tasks, such as bug discovery, finding reusable assets, dependency analysis etc. A better understanding of the task at hand and its surroundings can improve the development performance in general. Software visualizations can support such understanding by addressing different issues according to the necessity of stakeholders. However, knowing which visualizations better fit a given task in progress is not a trivial skill. In this sense, a feature model, intended for organizing the knowledge of a given domain and allowing the reuse of components, can support the identification, categorization and selection of information visualization elements. This work presents an ongoing domain analysis performed for building an information visualization feature model, whose goal is to support the process of choosing and building proper, suitable software visualizations.

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Section: Feature Modelmentioning

confidence: 99%

An information visualization feature model for supporting the selection of software visualizations

Vasconcelos

Schots

Werner

2014

Proceedings of the 22nd International Conference on Program Comprehension

Self Cite

View full text Add to dashboard Cite

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“…The verification items of this group (exemplified in Table 1) also support checking if each feature belongs to the modeled domain. Figure 1 shows an excerpt from the feature model describing the hospitality domain using the Odyssey-FEX notation [Blois et at. 2006].…”

Section: Individual Verification Of Each Featurementioning

confidence: 99%

“…• Independent variables: application domains textually described and represented through feature models using the Odyssey-FEX notation [Blois et al 2006], subject experience in software engineering projects, subject experience in inspections, previous subject knowledge of the domains used in the study. • Dependent variables: Amount of defects, the amount of false positives, time spent in performing the inspection, efficiency, and effectiveness.…”

Section: Variablesmentioning

confidence: 99%

Experimental Evaluation of FMCheck: A Replication Study

Souza¹,

Mello²,

Almeida³

et al. 2016

Anais Do XV Simpósio Brasileiro De Qualidade De Software (SBQS 2016)

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Software Product Lines are usually specified using feature models. A hierarchically arranged set of features with different relationships among them represents a feature model. However, there is a lack of techniques to support the detection of semantic defects in feature models. In this context, it was recently developed FMCheck, a checklist-based inspection technique to support the detection of defects in feature models. The results of a first study conducted by FMCheck's developers indicated its feasibility (more effective) when compared to ad-hoc techniques. This paper reports the replication accomplished by an independent research group following a different experimental design but using the same artifacts. The obtained results strengthened the previous findings, indicating that FMCheck is more effective than ad-hoc inspections. However, additional replications should be performed with different experimental designs to understand better the influence of the artifacts inspected over such findings.

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