An approach to modelling software evolution processes = ruan by Tong Li

By Tong Li

An method of Modelling software program Evolution Processes describes formal software program strategies that successfully aid software program evolution. the significance and recognition of software program evolution raise as an increasing number of winning software program structures turn into legacy platforms. For something, software program evolution has turn into a tremendous attribute within the software program lifestyles cycle; for an additional, software program techniques play a major position in expanding potency and caliber of software program evolution. for that reason, the software program evolution technique, the inter-discipline of software program approach and software program evolution, turns into a key quarter in software program engineering.

The booklet is meant for software program engineers and researchers in computing device science.

Prof. Tong Li earned his Ph.D. in software program Engineering at De Montfort college, U.K.; he has released 5 monographs and over 100 papers.

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Extra info for An approach to modelling software evolution processes = ruan jian yan hua gong chen jian mo

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They also introduced a set of rules for recovering domain knowledge from C code followed by a theoretical analysis on these algorithms (Li and Yang 2001). They matched a software program with a pre-defined domain knowledge base in the representation of a simplified semantic network in order to link the source program with its domain-level interpretation. Moreover, a domain-oriented program partitioning method was also proposed in order to partition a program into self-contained modules of manageable size.

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IEEE Computer Society, Washington DC, pp 8  11 Kirk D (2004) A flexible software process model. In: Proceedings of the 26th international conference on software engineering. IEEE Computer Society, Washington DC, pp 57  59 Kornstaedt UB, Reinert R (2002) A concept to support process model maintenance through systematic experience capture. In: Proceedings of the 14th international conference on software engineering and knowledge engineering. ACM Press, New York, pp 465  468 Lanza M (2001) The evolution matrix: recovering software evolution using software visualization techniques.

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