The development of mass manufacturing ranks as one of the most important contributors to human living conditions ever - of the same magnitude as agriculture and modern medicine. This monograph examines the development of manufacturing over several centuries, through the eyes of a single industry and company. Throughout this period, the key has been precise control of manufacturing processes, rather than production speed per se.
Such list of distinctive elements is the following: This model stipulates that the software should be developed in successive stages: Software tool for assisting the software development.
Quality model for software process assessment and improvement. According to the detailed analysis reported in , two drivers emerges: This behavior indicates a scientific accumulation tradition that is a positive attribute for any scientific discipline.
This also manifests the relevance and need to count with suitable processes to develop successful software systems. The Figure 2 shows the evolution map of the PM-SDLCs that can be derived as a plausible explanation based in the technology change and the knowledge gap drivers.
This evolution has been elaborated by using the findings and analysis reported in previous sections the meta-model analysis of the 13 PM-SDLScs, and the common, distinctive and unique elements analysis.
In Figure 2, the arrows represent the chronological order of apparition of models. Under this methodology chronological era perspective , it is interesting to note that every new era starts with a model with high or medium specification rigor level, except in the pre-methodology era.
This evidence suggests that software engineering principles and foundations toward the specification rigor are pursued before agility attributes.
However, the industrial pressure to reduce manufacturing or realizing time cycles keeping high-quality products, also suggest that a trade-off between specification rigor and agility must be balanced. Hence, this study has developed a descriptive profile of the evolution of PM-SDLCs, as well as has proposed a plausible explanation of such evolution.
This study can be useful also to incorporate the emergent new trend toward serviceoriented software engineering approaches SOSE .
This study can conclude that: XP also considers the classic phases analysis, design, coding, test and implementation ; iv despite the meta-model can be considered a reduced model, it has enough descriptive capability because few PMSDLCs meet all specifications; and v despite the variety of PM-SDLCs cannot be reported that an unique PM-SDLC is adequate for all purposes, but that its suitability relies on several characteristics the organization context, the available technology and the team experience and knowledge on methods.
This study can be continued with: However, this study helps to organize and propose a qualitative evolution model that can be tested empirically. References  Mora, M. Accepted for the 18th. White Paper from Rational Software Corporation. Guide to the Software Engineering Body of Knowledge.Abstract.
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