Software Engineering

L. Arockiam ¹, A. Aloysius ¹, A. Antony Prakash ¹

Affiliations
1 Computer Science, St. Joseph’s College, Tiruchirappalli, IN

Abstract

In recent years, the winds of cognitive science is gently ushering changes in the latest software technologies. Also the traditional software complexity measures focuses only on addressing the complexity of the procedure oriented and object oriented software development. Thus envisioning new areas like component based system would lead to better utilization of resources and make the end user’s task easier. Thus an experiment has been conducted to study the link between personality traits and program debugging in component based systems. In our experimental setting, the debugging test was conducted in java bean programs and Personality test in Eysenck's personality inventory and the results were correlated. From the results, it is observed that there is a positive correlation between the personality traits and debugging. Psychoticism personality people performed better in debugging compared to the other two personality traits students.

Keywords

Cognitive Science, Personality Traits, Debugging, Statistical Test, Component Based Programming.

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L. Arockiam ¹, A. Aloysius ², A. Revathi ³

Affiliations
1 Computer Science, St. Joseph's College, Tiruchirappalli, IN
2 Computer Science, St Joseph‟s College-Tiruchirappalli, IN
3 Computer Science, St Joseph‟s College, Tiruchirappalli, IN

Abstract

In recent years there has been a great upsurge in the field of cognitive science too. Also the traditional software complexi-ty measures focuses only on addressing the complexity of the proce-dural oriented and object oriented software development. Thus envi-sioning new areas like Component Based System would lead to better utilization of resources and make the end user‟s task. An experiment has been conducted to study the relation between Intelligent Quotient (IQ) and program debugging in Component Based systems on the assumption that programmers are not consistent in their debugging capabilities. In our experimental setting, the debugging test in Com-ponent based programming language features and the IQ test based on Binet-Simon scale were conducted and the results were correlated. From the results, we observe that there is a positive correlation be-tween the IQ value and debugging ability of the students. Thus there is evidence that similar cognitive skills are used for debugging and IQ Test.

Keywords

Cognitive Science, IQ, Debugging, Statistical Test, Component Based Programming.

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L. Arockiam ¹, J. Charles Selvaraj ², S. Manimozhi ¹

Affiliations
1 Department of Computer Science, St. Joseph’s College, Tiruchirappalli – 620002, IN
2 Department of Computer Science, A.A Government Arts College, Musiri, IN

Abstract

Many researches show that E-learning is better than the traditional learning. Human factors such as EQ, Attention, Personality, Stress, IQ, Attitude and Cognitive factors such as recollection, retention, comprehension and recognition are some of the factors of E-learning process. The objective of this paper is to explore the relationship between Intelligence Quotient (IQ) and Recollection & Retention (R & R) skills of students in E-learning environment. A case study was conducted by preparing customized questionnaires in order to examine the students’ IQ level and R&R skills. The IQ level which is quantified in terms of logical, mathematical, verbal and spatial intelligences. The relationships between IQ and R & R skills are also explored. It reveals that spatial and verbal intelligence students have better R & R skill when compared to other intelligence students. Based on the results of the case study, a set of E-learning System Design factors have been proposed for web user interface design in E-learning Environment.

Keywords

Cognitive Science, IQ, Recollection & Retention, Web User Interface Design.

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L. Arockiam ¹, K. Geetha ², A. Aloysius ¹

Affiliations
1 Department of Computer Science, St. Joseph’s College, Tiruchirappalli – 620002, IN
2 Department of Computer Science and Engineering, Bharathidasan University, Tiruchirappalli – 620023, IN

Abstract

The interest in the application of cognitive science in computing has grown recently to a greater extend in the software industry. The programmers and project managers are focusing on better techniques for reduction of software complexity in software development. Object oriented technology becomes an increasingly popular software development environment. The traditional software complexity measures focus only on addressing the complexity of the procedure oriented software development. They cannot fulfill the requirements of object-oriented software. Hence, newer techniques and methods are to be developed by researchers. Earlier, Arockiam et. al have proposed a new complexity measure namely Extended Weighted Class Complexity (EWCC) which is an extension of Weighted Class Complexity (WCC). EWCC is the sum of cognitive weights of attributes and methods of the class and that of the classes derived. The aim of this paper is to validate EWCC and other complexity metrics with respect to program comprehension. From the experiments conducted, it is proved that EWCC is a better indicator of complexity of classes with inheritance.

Keywords

CK Metrics, Extended Weighted Class Complexity (EWCC).

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