Software Engineering

A. Priyadarshini ¹, G. Pandiyan ²

Affiliations
1 Bharathiar University, IN
2 Periyar University, IN

Abstract

The right information in the right place at the right time is fundamental although not easy for the making of significant business decisions and staying competitive. Competitive Intelligence CI allows the scanning of the environment, the recognition of risks and opportunities in the competitive arena and a better understanding of today & tomorrow's information requirements with the support of Business Intelligence BI Software. Competitive intelligence has captured the interest of a lot of companies in recent years, due to the tremendous changes occurring represented in the increasing need to know more about an industry, a market, a product or a competitor. Choosing the right BI software is critical to increase productivity and effectiveness in the organization. At the same time a very elaborating and complex process due to the fact that numerous vendors exist on the market most of which are updated very rapidly besides most of BI software selection criteria already used are vague and not complete. It is also difficult to evaluate BI effectiveness as a tool in conjunction with supporting the CI cycle different phases. Moreover, the findings of the study also revealed that it is difficult to declare the most competitive BI software as what is good for one user might not be good for the other depending on their varied business needs. Furthermore, the study initiated a new classification of BI Software vendors depending on their support of the CI cycle phases and divided them into five categories including: Fully complete, Complete, Semi Complete, Incomplete and Insubstantial.

Keywords

Business Intelligence, Competitive Intelligence, Decision Support System and Data Mining.

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R. Balamalini ¹, G. Pandiyan ¹

Affiliations
1 Department of Computer Science in R.V.S College of Arts and Science at Sulur, Coimbatore, IN

Abstract

Regression testing is a testing activity that is performed to provide confidence that changes do not harm the existing behavior of the software. Regression testing is an expensive process used to validate modified software. Test case prioritization techniques give better cost effectiveness of regression testing. In the testing process those that are important run earlier. Many prioritization techniques have been proposed and evidence shows that they can be beneficial. Most of the studies performed have evaluated regression testing under the limited context, such as short-term assessment, which do not fully account for system evolution or industry circumstances. We have associated with residual defects. The residual defects might affect the level of success of the software products. In this paper, we give a study on heuristic approach and Bayesian network approach. This shows how they are effective in reducing the occurrence and persistence of residual defects across the system lifetime.

Keywords

Bayesian Network, Heuristic Approach, Regression Testing, Residual Defects, Test Case Prioritization.

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