1987
DOI: 10.1109/ms.1987.229789
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Classifying Software for Reusability

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Cited by 542 publications
(202 citation statements)
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“…It is based on the premise that for reuse to be effective, a proper infrastructure enabling reusers to find and understand the components that best fit their needs should exist [21]. Although systematic software reuse has been an active research area for more than a decade [9], the special nature of OSS has taken the original concept of systematic reuse based on centralized repositories into a completely different arena based on massive reuse over Internet.…”
Section: State-of-the-artmentioning
confidence: 99%
See 1 more Smart Citation
“…It is based on the premise that for reuse to be effective, a proper infrastructure enabling reusers to find and understand the components that best fit their needs should exist [21]. Although systematic software reuse has been an active research area for more than a decade [9], the special nature of OSS has taken the original concept of systematic reuse based on centralized repositories into a completely different arena based on massive reuse over Internet.…”
Section: State-of-the-artmentioning
confidence: 99%
“…The OSS reuse environment greatly differs to the "classical" reuse environment based on centralized repositories [21]. In this section, we describe the high-level elements that constitute the OSS marketplace in order to understand the new required needs for improving OSS components reusability.…”
Section: Elements Of the Oss Marketplacementioning
confidence: 99%
“…The classification scheme used by ORCA is an extension of Prieto-Diaz's faceted classification schema [4]. In such a schema, an object is classified along a number of dimensions -the facets --and two objects may be 'close' to each other with respect to one or more facets.…”
Section: ) Ciassification Supportmentioning
confidence: 99%
“…• characterization and selection approaches (e.g., [1], [13], [2]); • composition, generation, and transformation approaches (e.g., [6]); • AI planning approaches (e.g., [3], [16]); • domain engineering approaches (e.g., [9]); • classical planning approaches such as work breakdown structures (e.g., [15]); • process pattern approaches (e.g., [8]). …”
Section: Introductionmentioning
confidence: 99%