Paramvir Singh

NIT Jalandhar, Computer science and engineering, Faculty Member

Followers

Following

Co-authors

Public Views

Paramvir Singh is working as Assistant Professor in Department of Computer Science and Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar (Punjab), India.

He received the Ph.D. degree in Computer Science and Engineering from Guru Nanak Dev University, Amritsar (Punjab), India, in 2011 and the M.Tech. degree in Computer Science and Engineering from Panjab University Chandigarh, India, in 2005.

He has 11 years of work experience including both academia and industry. He has published more than 20 papers in refereed international journals and conference proceedings. He is a member of the IEEE and the IEEE Computer Society, and a life member of ISTE. His research interests include software engineering, data structures, and secure systems.

less

Related Authors

Retired

Federation University

Carlos Carbonell Carrera

Universidad de La Laguna

Päivi Porras

Saimaa University of Applied Sciences

Erika Novotna

University of Prešov

David Pole

Saint Louis University

Alan Sangster

University of Aberdeen

Amanda Gunning

Mercy University

Interests

Uploads

Papers by Paramvir Singh

Teaching Requirements Engineering Concepts using Case-Based Learning

by Deepti Ameta and Paramvir Singh

Requirements Engineering (RE) is known to be critical for the success of software projects, and h... more Requirements Engineering (RE) is known to be critical for the success of software projects, and hence forms an important part of any Software Engineering (SE) education curriculum offered at tertiary level. In this paper, we report the results of an exploratory pilot study conducted to assess the effectiveness of Case-Based Learning (CBL) methodology in facilitating the learning of several RE concepts. The evaluation was made on the basis of graduate students' responses to a set of questions representing various key learning principles, collected after the execution of two CBL sessions at DA-IICT, Gandhinagar (India). We investigate the perceived effectiveness of CBL in students' learning of various RE concepts, based on factors like case difference, gender diversity, and team size. Additionally, we collect and analyze the Teaching Assistants' (TAs) opinions about the conducted CBL sessions. The outcome of this CBL exercise was positive as maximum students were able to achieve all the five stated learning objectives. The authors also report various challenges, recommendations, and lessons learned while experiencing CBL sessions.

DownloadEdit

A systematic review of IP traceback schemes for denial of service attacks

Computers & Security, 2015

Edit

DynaMetrics

ACM SIGSOFT Software Engineering Notes, 2008

Edit

Efficient and Scalable Collection of Dynamic Metrics Using MapReduce

2015 Asia-Pacific Software Engineering Conference (APSEC), 2015

Edit

Comparative performance analysis of calling context profiling data structures

International Journal of System Assurance Engineering and Management, 2016

Edit

Hybrid Black Hole Algorithm for Bi-Criteria Job Scheduling on Parallel Machines

by Paramvir Singh and Kawal Jeet

International Journal of Intelligent Systems and Applications, 2016

Edit

DynaMetrics

ACM SIGSOFT Software Engineering Notes, 2008

Edit

Empirical Investigation into Static and Dynamic Coupling Metrics

Recent research in the field of object-oriented software engineering has been focusing on the usa... more Recent research in the field of object-oriented software engineering has been focusing on the usage of software metrics for the assessment of a product's quality. Software design coupling metrics include some of the most widely applicable metrics used in the modern software industry. Although static coupling metrics are used for analyzing the structural aspects of the object-oriented software systems, their inability to capture the behavioral aspects is well known and hence has given way to the evolution of their runtime counterparts i.e. the dynamic coupling metrics. Most of the dynamic coupling metrics proposed until now have not yet been empirically validated due to the high evaluation cost involved in the runtime metric data collection, hence limiting their practical application. This paper, as a part of our ongoing research on empirical validation of the dynamic coupling metrics, presents an empirical investigation into the static and dynamic CBO (Coupling Between Objects) metrics using some open source real world java applications. A set of criteria for the selection of sample benchmark applications required for the dynamic metrics validation has also been devised. A scenario based approach in combination with the appropriate statistical techniques has been used in an attempt to correlate the static and dynamic coupling metrics.

DownloadEdit

Dynamic Coupling Metrics for Object Oriented Software Systems-A Survey

Coupling measures are considered important due to their inherent relationships with external soft... more Coupling measures are considered important due to their inherent relationships with external software quality attributes. The ongoing research on object oriented software quality has been focusing on devising dynamic metrics for software quality assessment because of their ability to capture the runtime behavior of software. A number of dynamic coupling metrics have been proposed in recent times to measure software quality. This paper is an attempt to fill in the gap between existing work and researchers by providing them essential knowledge about the dynamic coupling metrics, methodologies and techniques proposed in this area. This paper presents a survey of existing research related to dynamic coupling metrics for object oriented software systems. Metrics have been categorized according to some of their major characteristics such as dynamic analysis techniques, validation of metrics, relation with static metrics etc. The capability of these metrics in quantifying external software quality attributes is also studied. The survey found that very few dynamic coupling metrics have been proposed and most of the proposed metrics lack empirical validation limiting their applicability in software quality assessment.

DownloadEdit

Paramvir Singh

Uploads

Papers by Paramvir Singh

Log In