Software Engineering

R. Ravichandran ¹, M. Punithavalli ², V. Vijayalakshmi

Affiliations
1 PSG College of Technology, IN
2 Computer Applications Department, Sri Ramakrishna College of Engineering, Coimbatore, IN

Abstract

This study probed into improving the process capability in defined level software companies to achieve high process maturity with respect to effort deviation and schedule deviation using Statistical Process Control (SPC) technique. Using the results of research through literature review, collection of data from software industry this study would be identified the relative importance of SPC, software quality and software process. SPC can be applied in defined level companies to improve the process maturity [1]. A case study is conducted in the present study to obtain practical evidence on the validity of the reasoning about statistical process control in achieving high level process maturity at defined level companies. The real time data were collected for effort deviation and schedule deviation for the different phases of the project life cycle considering two different languages namely VB.NET and ASP.NET. Projects were grouped language wise for analysis and the control limits were constructed and defined for effort deviation and schedule deviation separately. The applicability of SPC through control charts in improving the process capability with respect to effort deviation and schedule deviation have been validated considering projects done in two different languages.

Keywords

Statistical Process Control (SPC), Effort Deviation, Schedule Deviation, Process Maturity.

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G. Zayaraz ¹, V. Vijayalakshmi ², M. Venkatesan ³, S. Mathivanan ³

Affiliations
1 CSE Dept. of Pondicherry Engineering College, Pondicherry, IN
2 ECE Dept. of Pondicherry Engineering College, Pondicherry, IN
3 CSE Dept. of Pondicherry Engineering College, Pondicherry, IN

Abstract

SOA is an architectural style for building software applications that use services available in a network such as the web. It promotes loose coupling between software components so that they can be reused. Applications in SOA are built based on services SOA is gradually replacing monolithic architecture as the premier design principle for new business applications. It promises lower integration costs, increased reusability and improved enterprise agility and adaptability. The architecture evaluation will improve the problem understanding and it will clearly distinguish the strength and weakness of the architecture. It also performs the cost-benefits analysis for different alternatives and injects the reviewer’s expertise into the project. If software architecture is a key business asset for an organization, then architectural analysis must also be a key practice for that organization. Architectures are complex and involve many design tradeoffs. Without undertaking a formal analysis process, the organization cannot ensure that the architectural decisions made—particularly those which affect the achievement of quality attribute such as performance, availability, security, and modifiability—are advisable ones that appropriately mitigate risks. In this research work an attempt has been made to investigate the possibility of evaluating the Service Oriented Architectures employing a new quantitative evaluation method exclusively. The most suitable SOA providing maximum satisfaction to the stake holders is to be identified.

Keywords

AHP, Evaluation Parameters, Service Customers, Service Oriented Architectures, Service Provider and PROMETHEE.

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