Titlebook: Neural Information Processing; 16th International C Chi Sing Leung,Minho Lee,Jonathan H. Chan Conference proceedings 2009 Springer-Verlag B

射手座

現(xiàn)任者

Abraham Prieto,Francisco Bellas,Richard J. Duronclear why an idea that has gained such universal accep- tance was the source of swirling controversy when it began to be taken seriously by the software engineering community in the mid-1980‘s. From a purely conceptual point of view, the reuse of software de- signs and components promises nearly ri

Interlocking

過(guò)份

Choon Ling Tan,Simon Egerton,Velappa Ganapathyquences or ripple-effects of architecture evolution. Traceability information provides a basis for analysing and evaluating software evolution, and consequently, it can be used for tasks like reuse evaluation and improvement throughout the evolution of software. To date, however, none of the publish

收藏品

Pengfei Li,Hesheng Tang,Zhaoliang Wang combine them together for efficient software reuse. The approach consists of two phases. The first is the model construction phase. Rough set theory (RST) and colored Petri nets (CPN) are used in order to build the accurate model (hereafter, simply referred to “the model”) from various facts and re

Commonplace

Harya Widiputra,Henry Kho,Lukas,Russel Pears,Nikola Kasabovoach that combines feature location at the model level with code comparison at the code level to extract Clone-and-Own Relationships from a family of software products. The aim of our work is to understand the different Clone-and-Own Relationships and to take advantage of them in order to improve th

令人悲傷

Chukiat Worasucheep,Prabhas Chongstitvatanauirements or application contexts. Software product line engineering allows developing these software systems by managed large-scale reuse in order to achieve shorter time to market. Traditional software product line engineering approaches use a domain variability model which only captures the confi

violate

Mercurial

Abbas Khosravi,Saeid Nahavandi,Doug Creightonuirements or application contexts. Software product line engineering allows developing these software systems by managed large-scale reuse in order to achieve shorter time to market. Traditional software product line engineering approaches use a domain variability model which only captures the confi

窩轉(zhuǎn)脊椎動(dòng)物

Md. Monirul Kabir,Md. Shahjahan,Kazuyuki Murasequire rigorous SVM. Dynamic SPLs, service oriented SPLs, and autonomous or pervasive systems are examples where CSPLs are applied. Knowledge-based configuration (KBC) is an established way to address variability modelling aiming for the automatic product configuration of physical products. Our aim w