Comprehensive Software Industry Analysis Model (CSIAM)

Comprehensive Software Industry Analysis Model (CSIAM)

T.R.Gopalakrishnan Nair, R. Selvarani, Muthu Ramachandran
Copyright: © 2010 |Pages: 11
DOI: 10.4018/978-1-60566-731-7.ch010
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Abstract

This chapter discusses a comprehensive analysis model of the concurrent software industry which is a collection of different sub-models interacting and communicating objectively with a cause-effect relationship. This model is not merely process centric but it also deals with the resources, skills and methods with an entity model which forms an important factor of the comprehensive approach. Process is considered as an activity performed over the resources with a particular level of skill set transforming the input. In this comprehensive model, the factors associated with various sub models like process, technology, business, risk and multi domain are considered and integrated through communication links, threading all the models in transforming the system specification into the product within the cycle time with an active cost. The final model will be able to accept a spectrum of input from the industry, ranging from finances, human resources, business practices, technology and software production process and come out with metrics correlated to the observables of that particular company or group.
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Ii. Process Transformation To A Super Resource Scenario

In fact software technology has moved quite a long way for the last 20 years from where process centric thoughts blossomed (http://www.sei.cmu.edu/cmmi, & Morgan) and implemented improvements in process that could bring geometric response in the generation of software products. Nevertheless, the technology has changed and the resources have grown quantitatively and qualitatively in significant size. It continuously demands process changes to suit the growth and sometimes even consuming a part of the process into the intelligence of the active resource. This transformation is inevitable and will be on a growing path along with the crowding of the new processors and intelligence power, taking place in computing systems. So the productivity of the software generation system is not purely dependent on old process centric factors (Menkhaus, Frei & Wuthrich, 2006) which are evident from the data that equally process certified production units performing with different productivity and quality. This calls for an open and liberal view to the software engineering of today without historical binding of thoughts prevailing in software generation by process refinement.

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