Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-88643-3-2
Title: Software reuse beyond components with XVCL (tutorial)
Authors: Jarzabek, S. 
Issue Date: 2008
Source: Jarzabek, S. (2008). Software reuse beyond components with XVCL (tutorial). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5235 LNCS : 47-77. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-88643-3-2
Abstract: The basic idea behind software reuse is to exploit similarities within and across software systems to avoid repetitive development work. Conventional reuse is based on components and architectures. We describe how reuse of structural similarities extends the benefits of conventional component reuse, and realization of the concept with a generative technique of XVCL. Structural similarities are repetition patterns in software of any type or granularity, from similar code fragments to recurring architecture-level component configuration patterns. We represent any significant repetition pattern in subject system(s) with a generic, adaptable, XVCL meta-structure. We develop, reuse and evolve software at the level of meta-structures, deriving specific, custom systems from their meta-level representations. Lab studies and industrial applications of XVCL show that by doing that, on average, we raise reuse rates and productivity by 60-90%, reducing cognitive program complexity and maintenance effort by similar rates. The approach scales to systems of any size. The benefits are proportional to system size, and to the extent of repetitions present in subject system(s). The main application of this reuse strategy is in supporting software Product Lines. © 2008 Springer Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41196
ISBN: 3540886427
ISSN: 03029743
DOI: 10.1007/978-3-540-88643-3-2
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