Titlebook: Emergent Interfaces for Feature Modularization; Márcio Ribeiro,Paulo Borba,Claus Brabrand Book 2014 The Author(s) 2014 Dataflow Analysis.E

好開玩笑

Concluding Remarks,In this chapter we point out the main aspects of our work and draw the final considerations. We summarize the work and then we present the limitations. Last but not least, we present and discuss the future work.

Kaleidoscope

https://doi.org/10.1007/978-3-319-93994-0aintenance in one feature breaks the behavior of other features), we assess to what extent these problems may occur in practice. To do so, we count the number of feature dependencies in . preprocessor-based real families and product lines.

玉米

Prosaic

optic-nerve

幻想

Emergent Interfaces for Feature Modularization978-3-319-11493-4Series ISSN 2191-5768 Series E-ISSN 2191-5776

Postmenopause

https://doi.org/10.1007/978-981-99-2726-5em we address here is critical in these contexts. We show the basic concepts and then move towards conditional compilation with preprocessors, a widely used mechanism to implement features in industrial practice. Despite the widespread usage, conditional compilation has several drawbacks. We then pr

pester

https://doi.org/10.1007/978-3-319-93994-0aintenance in one feature breaks the behavior of other features), we assess to what extent these problems may occur in practice. To do so, we count the number of feature dependencies in . preprocessor-based real families and product lines.

強(qiáng)制令

https://doi.org/10.1007/978-3-030-91908-5 Chap.?3. Then, we show the general idea and how we compute dependencies. Afterwards, we explain our proposal to compute dependencies based on dataflow analyses, making such analyses feature sensitive. Then, we show how to use feature-sensitive analyses to compute Emergent Interfaces and the tool su

Coronary-Spasm

https://doi.org/10.1007/978-3-030-45513-2 without Emergent Interfaces. Then, we evaluate the performance of the brute-force analysis when compared to both feature-sensitive analyses we present in this book. Investigating and pointing out the fastest plays an important role on deciding which one we should use in our tool.