A theoretical foundation of variability in component-based development

Kim, Soo Dong; Her, Jin Sun; Chang, Soo Ho

doi:10.1016/j.infsof.2004.11.007

Cited by 42 publications

(33 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The lack of approaches may be due to the wide variety of possibilities to translate a conceptual variation point (i.e. a delayed decision) to the implementation of a variation point, as well as to the difficulty to trace this translation [20,14]. Thummalapenta and Xie [23] analyze applications that extend the same framework.…”

Section: Mining For Variation Points and Variantsmentioning

confidence: 99%

An Overview of Techniques for Detecting Software Variability Concepts in Source Code

Lozano

2011

Advances in Conceptual Modeling. Recent Developments and New Directions

View full text Add to dashboard Cite

Abstract. There are two good reasons for wanting to detect variability concepts in source code: migrating to a product-line development for an existing product, and restructuring a product-line architecture degraded by evolution. Although detecting variability in source code is a common step for the successful adoption of variability-oriented development, there exists no compilation nor comparison of approaches available to attain this task. This paper presents a survey of approaches to detect variability concepts in source code. The survey is organized around variability concepts. For each variability concept there is a list of proposed approaches, and a comparison of these approaches by the investment required (required input), the return obtained (quality of their output), and the technique used. We conclude with a discussion of open issues in the area (variability concepts whose detection has been disregarded, and cost-benefit relation of the approaches).

show abstract

Section: Mining For Variation Points and Variantsmentioning

confidence: 99%

An Overview of Techniques for Detecting Software Variability Concepts in Source Code

Lozano

2011

Advances in Conceptual Modeling. Recent Developments and New Directions

View full text Add to dashboard Cite

show abstract

“…Hence in this section, we identify the inherent characteristics of core assets based on representative works on them [1,2,[10][11][12].…”

Section: Characteristics Of Core Assetsmentioning

confidence: 99%

“…2, the boundary of variability is not independent of commonality but within commonality. Variability is a minor variation within commonality and is composed of closed and open variability [12]. A mechanism to capture variability in a product line is a decision model.…”

Section: Characteristics Of Core Assetsmentioning

confidence: 99%

A framework for evaluating reusability of core asset in product line engineering

Her

Kim

et al. 2007

Information and Software Technology

Self Cite

View full text Add to dashboard Cite

“…Usually developers compare software either in an ad-hoc fashion based on practical considerations or in terms of taxonomies of software features (e.g., [1,13,16,20,24]). Often these comparison methods confound systems functionality with implementation-oriented considerations.…”

Section: Introductionmentioning

confidence: 99%