Browsing by Author "Cafer,F."

Now showing 1 - 6 of 6

Citation - Scopus: 5
A Cognitive Requirement Specification Model
(2009) Cafer,F.; Misra,S.; Computer Engineering
Eliciting/Gathering information from the customers in requirement phase is the most crucial task in the development of the software development process, because this phase builds the base for the success or failure of any software product. Requirements specification process highly depends on the knowledge and mental abilities of the customers. In this paper, we are proposing a cognitive requirement specification model based on the cognitive classification of customers. © 2009 IEEE.
Citation - Scopus: 4
Effective Project Leadership in Computer Science and Engineering
(2009) Cafer,F.; Misra,S.; Computer Engineering
Project leaders are the most important individuals in projects. A project leader should follow some thinking styles and values which can lead his or her team to success. There is a common notion among software specialists that the more complex a project manager thinks, the better his leadership is. In this paper, we discuss the significance of simple thinking in project leadership. If the leader thinks in a simple way, then the risk of being suffocated in details is less. Complex thinking brings out greater risks of losing the general control of the system because of spending too much time and effort on details and, as a result, more confusion. Not only simplicity, but also psychological factors are important in guiding teams and developing projects in the most effective way. Here, we present a set of qualities for a good project leader in software engineering. In addition to that, we also demonstrate how cognitive and ethical issues affect leadership qualities. © 2009 Springer Berlin Heidelberg.
A Multi-Paradigm Complexity Metric (mcm)
(2011) Misra,S.; Akman,I.; Cafer,F.; Computer Engineering
Huge amount of researches and software metrics have been proposed for procedural and object-oriented languages. However, there are only few metrics available in the literature related with multi-paradigm programming languages. In this paper, we propose a metric to evaluate the code written in multi-paradigm language. Our proposed metric can be used for most of the programming paradigms, including both procedural and object-oriented languages. © 2011 Springer-Verlag.
Citation - Scopus: 3
A Multi-Paradigm Complexity Metric (mcm)
(2011) Misra,S.; Akman,I.; Cafer,F.; Computer Engineering
Huge amount of researches and software metrics have been proposed for procedural and object-oriented languages. However, there are only few metrics available in the literature related with multi-paradigm programming languages. In this paper, we propose a metric to evaluate the code written in multi-paradigm language. Our proposed metric can be used for most of the programming paradigms, including both procedural and object-oriented languages. © 2011 Springer-Verlag.
Citation - Scopus: 4
Multi-Paradigm Metric and Its Applicability on Java Projects
(Budapest Tech Polytechnical Institution, 2013) Misra,S.; Cafer,F.; Akman,I.; Fernandez-Sanz,L.; Computer Engineering
JAVA is one of the favorite languages amongst software developers. However, the numbers of specific software metrics to evaluate the JAVA code are limited. In this paper, we evaluate the applicability of a recently developed multi paradigm metric to JAVA projects. The experimentations show that the Multi paradigm metric is an effective measure for estimating the complexity of the JAVA code/projects, and therefore it can be used for controlling the quality of the projects. We have also evaluated the multi-paradigm metric against the principles of measurement theory.
Citation - Scopus: 1
A Software Metric for Python Language
(Springer Verlag, 2010) Misra,S.; Cafer,F.; Computer Engineering
There are many metrics for evaluating the quality of codes written in different programming languages. However, no efforts have been done to propose metrics for Python, which is an important and useful language especially for the software development for the embedded systems. In this present work, we are trying to investigate all the factors, which are responsible for increasing the complexity of code written in Python language. Accordingly, we have proposed a unified metric for this language. Practical applicability of the metric is demonstrated on a case study. © 2010 Springer-Verlag Berlin Heidelberg.