G​ursimran Singh Walia, Ph.D
Associate Dean and Director of Graduate Studies, School of Computer and Cyber Sciences, Augusta University; Augusta, GA
Affiliated Faculty and Professor of Computer Science, North Dakota State University, Fargo-ND
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Peer-Reviewed Publications (* - Graduate Students)
Research Areas: Empiricism [EMSE], Security Vulnerabilities and Software Errors [IST]; Software reviews [ICST] and Software Quality [ICSE], Metrics [IJSEKE], Requirements engineering [REFSQ], Human Factors [ESEM], Machine Learning [ICMLDS], Natural Language Processing [ISEC], Interactive tools [THMS], Software Reliability [ISSRE], CS/SE/Engineering Pedagogy [SIGCSE].

 
Peer-Reviewed Publications (Reverse Chronological Order) 
1.Willenbring, J., & Walia, G. (2024). The utility of complexity metrics during code reviews for computational software projects at national labs. Future Generation Computer Systems.
2.Agrawal, T., Walia, G., & Anu, V. K. (2024). Development of Software Design Error Taxonomy: A Systematic Literature Review. SN Computer Science 5 (5), 467. 
3.Sanders, A.*, Walia, G., & Allen, A. (2024, February). Assessing common software vulnerabilities in undergraduate computer science assignments. Journal of The Colloquium for Information Systems Security Education.
4.Ramasamy, V., Singsen, D., & Walia, G. S. (2024). Fostering Student Engagement and Success in STEM Education: An AI-Driven Exploration of High Impact Practices from Cross-Disciplinary General Education Courses. In Special Issue of the Journal of Engineering Education Transformations.
5.Boswell, B., Sanders, A., Walia, G., & Allen, A. (2024). Utilizing convolutional neural networks and eye-tracking data for classroom attention tracking. In Proceedings of the Hawaii International Conference on System Sciences (HICSS).
6.Kiper, J. D., Sultana, S., Auernheimer, B., & Walia, G. S. (2023). Using gray literature to influence software engineering curricula. In Proceedings of the SIGCSE Technical Symposium on Computer Science Education.
7.Willenbring, J.*, & Walia, G. (2023, October 16-18). Using complexity metrics during code reviews to promote software sustainability. In US Research Software Engineering Association, Chicago, IL.
8.Willenbring, J.*, & Walia, G. (2022). Using complexity metrics with hotspot analysis to support software sustainability. In Proceedings of the International Symposium on Software Reliability Engineering.
9.Sanders, A., Boswell, B., Allen, A., & Walia, G. (2022). Development of a non-intrusive classroom attention tracking system (NiCATS) for tracking student attention in CS classrooms. In Proceedings of the IEEE Frontiers in Education Conference.
10.Ramasamy, V., & Walia, G. (2022). Modeling student collaboration network to enhance student interactions. In Proceedings of the IEEE Frontiers in Education Conference.
11.Boswell, B., Sanders, A., & Walia, G. (2022). Using AI-based NiCATS system to evaluate student comprehension in introductory computer programming courses. In Proceedings of the IEEE Frontiers in Education Conference.
12.Ramasamy, V., Reddy, M., Walia, G., Allen, A., Duke, D., Kiper, J., & Davis, D. (2022). A multi-institutional analysis of CS1 students’ common misconceptions of key programming concepts. In Learning and Analytics in Intelligent Systems - AI-enhanced Software Engineering (Springer Book).
13.Cordova, L., Carver, J., & Walia, G. (2022). Testing Tutor: A Testing Pedagogical Active Learning Platform. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE). 
14.Borchert, O., & Walia, G. (2022). ScaffoldSQL: Using Parson’s problems to support database pedagogy. In Proceedings of the 34th International Conference on Software Engineering Education and Training (CSEE&T), Hawaii.
15.Subedi, I.*, Ramasamy, V., Walia, G., & S. Maninder. (2021). Classification of testable and valuable user stories by using supervised machine learning classifiers. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (Industry track).
16.Cordova, L., Carver, J., Walia, G., & Gershmel, N. (2021). A comparison of inquiry-based conceptual feedback vs. traditional detailed feedback mechanisms in software testing education: An empirical investigation. In Proceedings of the ACM SIGCSE Technical Symposium on Computer Science Education.
17.Sanders, A., Boswell, B., Allen, A., & Walia, G. (2021). Non-intrusive classroom attention tracking system (NiCATS). In Proceedings of the IEEE Frontiers in Education Conference.
18.Liang, D., Bethely, J.*, & Walia, G. (n.d.). Visualizing recursion using code and stack animation. Journal of Computing Sciences in College.
19.Ramasamy, V., Reddy, M., & Walia, G. (2021). Co-citation analysis of gamification literature in STEM wide and computer science education. In Proceedings of the IEEE Frontiers in Education Conference.
20.Brown, T.*, Ojha, H., Ramasamy, V., & Walia, G. (2021). Effectiveness of PCR checklist for aiding software engineering students in programming error detection. In Proceedings of the IEEE Frontiers in Education Conference.
21.Singh, M., & Walia, G. (2021). Automated mapping of fault logs to SRS requirements using key-phrase extraction. In Proceedings of the ACM Southeast (ACMSE) conference.
22.Subedi, I.*, Singh, M., Ramasamy, V., & Walia, G. (2021). Application of back-translation: A transfer learning approach to identify ambiguous software requirements. In Proceedings of the ACM Southeast (ACMSE) conference.
23.Ramasamy, V., Reddy, M., Walia, G., Duke, D., Kiper, J., & Allen, A. (2021). Meta-analysis to study the impact of learning engagement strategies in introductory computer programming courses: A multi-institutional study. In Proceedings of the ACM Southeast (ACMSE) conference.
24.Singh, M., Anu, V., & Walia, G. (2020). Using semantic analysis and graph mining approaches to support software fault fixation. In Proceedings of the IEEE International Conference on Software Reliability Engineering (Industry track).
25.Sarwar, M., Zafar, S., Mkaouer, M., Walia, G., & Malik, M. (2020). Multi-label classification of commit messages using transfer learning. In Proceedings of the IEEE International Conference on Software Reliability Engineering (Industry track).
26.Brown, T., Reddy, M., Singh, M., Walia, G., & Radermacher, A. (2020). Effectiveness of using guided peer code review to support learning of programming concepts in CS2 course: A pilot study. In Proceedings of the ASEE Annual Conference and Exposition.
27.Singh, M., Anu, V., & Walia, G. (2020). A vertical breadth-first multilevel path algorithm to find all paths in a graph. In Data Management and Analysis: Case Studies in Education, Healthcare and Beyond (Springer Book, Chapter 10).
28.Zafar, S., Malik, M., & Walia, G. (2019). Towards standardizing and improving classification of bug-fix commits. In Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (Porto de Galinhas, Brazil, September 19-20, 2019) [Acceptance Rate = 19%].
29.Anu, V. K., Hu, W., Carver, J., Walia, G., & Bradshaw, G. (2019). Development of a human error taxonomy for software requirements: A systematic literature review. In Proceedings of the 27th IEEE Conference on Requirements Engineering, Journal Track (Jeju Island, South Korea) [Acceptance Rate = 13%].
30.Reddy, M., Brown, T., & Walia, G. (2019). Using digital learning content embedded in a cyber learning environment to support CS1 pedagogy. In Proceedings of the IEEE Frontiers in Education Conference (Cincinnati, OH, USA, October 16-19, 2019) [Acceptance Rate = 36%].
31.Kaur, R., Singh, M., Brown, T., Reddy, M., & Walia, G. (2019). Using association rule mining algorithm to analyze patterns in student learning content in CS1 course. In Proceedings of the IEEE Frontiers in Education Conference (Cincinnati, OH, USA, October 16-19, 2019) [Acceptance Rate = 36%].
32.Anu, V., & Walia, G. (2019). Developing and evaluating learning material to introduce human error concepts in software engineering courses: Results from industry and academic experiments. In Proceedings of the IEEE Frontiers in Education Conference (Cincinnati, OH, USA, October 16-19, 2019) [Acceptance Rate = 36%].
33.Brown, T., Reddy, M., Singh, M., & Walia, G. (2019). Using code review to improve programming skills of students in an introductory CS course. In Proceedings of the IEEE Frontiers in Education Conference (Cincinnati, OH, USA, October 16-19, 2019) [Acceptance Rate = 36%].
34.Borchert, O., Reddy, M.*, Walia, G., & Duke, D. (2019). Experiences using a cyber learning environment in CS1 classrooms. In Proceedings of the ASEE Annual Conference and Exposition (Tampa, FL, USA, June 16-19, 2019) [Acceptance Rate = 21%].
35.Reddy, M.*, Walia, G., Duke, D., Ramasamy, V., Kiper, J., Davis, D., Allen, A., & Potvin, G. (2019). Evaluating the impact of combination of engagement strategies in SEP-CyLE on improve student learning of programming concepts. In Proceedings of the ACM Technical Symposium on Computer Science Education (Minneapolis, MN, USA, February 27 - March 2, 2019) [Acceptance Rate = 32%].
36.Singh, M.*, Walia, G., & Goswami, A. (2018). Using supervised learning to guide the selection of software inspectors in industry. In Proceedings of the IEEE Symposium on Software Reliability Engineering (ISSRE) (Industry Track) [Acceptance Rate = 32%, BEST DISRUPTIVE IDEA AWARD RUNNER-UP]. 
37.Manjunath, K., Anu, V. K.*, Walia, G., & Bradshaw, G. (2018). Training industry practitioners to investigate the human error causes of requirements faults. In Proceedings of the IEEE Symposium on Software Reliability Engineering (ISSRE) (Industry Track) [Acceptance Rate = 32%].
38.Anu, V. K.*, Hu, W., Carver, J., Walia, G., & Bradshaw, G. (2018). Development of a human error taxonomy for software requirements: A systematic literature review. Information and Software Technology (IST) [IMPACT FACTOR: 2.768].
39.Singh, M., Anu, V., & Walia, G. (2018). A vertical breadth-first multilevel path algorithm to find all paths in a graph. In Proceedings of the International Symposium on Big Data Management and Analytics (BIDMA) (Calgary, Canada, April 24-25, 2018).
40.Reddy, M.*, Walia, G., & Radermacher, A. (2018). Gamification in computer science education – A systematic literature review. In Proceedings of the ASEE Annual Conference and Exposition (Salt Lake City, Utah, June 24-27, 2018) [Acceptance Rate = 37%].
41.Reddy, M.*, Walia, G., & Radermacher, A. (2018). Using gamification and cyber learning environment to improve student’s learning in an introductory computer programming course —an empirical case study. In Proceedings of the ASEE Annual Conference and Exposition (Salt Lake City, Utah, June 24-27, 2018) [Acceptance Rate = 37%].
42.Reddy, M.*, Walia, G., Borchert, O., & Radermacher, A. (2018). Evaluating learning engagement strategies in a cyber learning environment during introductory computer programming courses-- An empirical investigation. In Proceedings of the ASEE Annual Conference and Exposition (Salt Lake City, Utah, June 24-27, 2018) [Acceptance Rate = 37%].
43.Singh, M., Vaibhav, A., Walia, G., & Goswami, A. (2018). Validating requirements reviews by introducing fault-type level granularity: A machine learning approach. In Proceedings of the ACM SIGSOFT Innovations in Software Engineering Conference (Hyderabad, India, February 9-11, 2018) [Acceptance Rate = 25%].
44.Singh, M.*, Walia, G., & Goswami, A. (2017). An empirical investigation to overcome class-imbalance in inspection reviews. In Proceedings of the IEEE International Conference on Machine Learning and Data Science (ICMLDS) (India, December 14-15, 2017) [Acceptance Rate = 28%].
45.Singh, M.*, Walia, G., & Goswami, A. (2017). Validation of inspection reviews over variable features set threshold. In Proceedings of the IEEE International Conference on Machine Learning and Data Science (ICMLDS) (India, December 14-15, 2017) [Acceptance Rate = 28%].
46.Anu, V.*, Walia, G., Hu, W., Carver, J., & Bradshaw, G. (2017). Issues and opportunities for human error-based requirements inspections: An exploratory study. In Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (Toronto, Canada, November 9-10, 2017) [Acceptance Rate = 19%].
47.Clarke, P., Davis, D., Lau, C. R., Fu, P. E. Y., & Walia, G. (2017). Using WReSTT cyberlearning environment in the classroom. In Proceedings of the ASEE Annual Conference and Exposition (Columbus, Ohio, June 25-28, 2017) [Acceptance Rate = 35%].
48.Hu, W., Carver, J., Anu, V. K.*, Walia, G., & Bradshaw, G. (2017). Understanding human errors in software requirements: An online survey. In Proceedings of the 23rd International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ) (Essen, Germany, February 27 - March 2, 2017) [Acceptance Rate = 29%].
49.Anu, V., Walia, G., Bradshaw, G., Hu, W., & Carver, J. (2017). Usefulness of a human error identification tool for requirements inspection: An experience report. In Proceedings of the 23rd International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ) (Essen, Germany, February 27 - March 2, 2017) [Acceptance Rate = 29%].
50.Anu, V., Walia, G., Bradshaw, G., Hu, W., & Carver, J. (2017). Using human error abstraction method for detecting requirement errors: A live study. In Proceedings of the 23rd International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ) (Essen, Germany, February 27 - March 2, 2017) [Acceptance Rate = 29%].
51.Hu, W., Carver, J., Anu, V. K.*, Walia, G., & Bradshaw, G. (2017). Defect prevention in requirements using human error information: A study. In Proceedings of the 23rd International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ) [Acceptance Rate = 29%].
52.Clarke, P., Fu, Y., Kiper, J., & Walia, G. (2017). Using learning and engagement strategies in software engineering and programming courses (LESSEP17-2). In Proceedings of the ASEE Annual Conference and Exposition (Columbus, Ohio, June 25-28, 2017) [Acceptance Rate = 35%].
53.Alomari, H., Kiper, J., & Walia, G. (2017). Using web-based repository of testing tutorials (WReSTT) with a cyber learning environment to improve testing knowledge of computer science students. In Proceedings of the ASEE Annual Conference and Exposition (Columbus, Ohio, June 25-28, 2017) [Acceptance Rate = 35%].
54.Goswami, A.*, Walia, G., & Rathod, U. (2017). Improving the requirements inspection abilities of computer science students through analysis of their reading and learning styles. In Proceedings of the ASEE Annual Conference and Exposition (Columbus, Ohio, June 25-28, 2017) [Acceptance Rate = 35%].
55.Anu, V.*, Walia, G., & Bradshaw, G. (2017). Incorporating human error education into software engineering courses via error-based inspections. In Proceedings of the ACM Technical Symposium on Computer Science Education (Seattle, Washington, USA, March 8-11, 2017) [Acceptance Rate = 30%, EXEMPLARY CS EDUCATIONAL RESEARCH PAPER AWARD]. 
56.Goswami, A.*, & Walia, G. (2016). Teaching software inspections to software engineering students through practical training and reflection. Computers in Education Journal (CoED).
57.Anu, V.*, Walia, G., Hu, W., Carver, J., & Bradshaw, G. (2016). Error abstraction accuracy and fixation during error-based requirements inspections. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (Ottawa, Canada) [Acceptance Rate = 31%].
58.Goswami, A.*, Walia, G., & Rathod, U. (2016). Using learning styles to staff and improve software inspection team performance. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (Ottawa, Canada) [Acceptance Rate = 34%, BEST INDUSTRY PAPER AWARD NOMINEE]. 
59.Anu, V. K.*, Walia, G., Hu, W., Carver, J., & Bradshaw, G. (2016). Using a cognitive psychology perspective on errors to improve requirements quality: An empirical investigation. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE) [Acceptance Rate = 34%].
60.Goswami, A.*, Walia, G., McCourt, M., & Padmanabhan, G. (2016). Using eye tracking to investigate reading patterns and learning styles of software requirement inspectors to enhance inspection team outcomes. In Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement [Acceptance Rate = 22%].
61.Hu, W., Carver, J., Anu, V. K.*, Walia, G., & Bradshaw, G. (2016). Detection of requirement errors and faults via a human error taxonomy: A feasibility study. In Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement [Acceptance Rate = 22%].
62.Anu, V. K.*, Walia, G., Hu, W., Carver, J., & Bradshaw, G. (2016). Effectiveness of human error taxonomy during requirements inspection: An empirical investigation. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering [Acceptance Rate = 27%].
63.Goswami, A.*, & Walia, G. (2016). Teaching software inspections to software engineering students through practical training and reflection. In Proceedings of the ASEE Annual Conference and Exposition (New Orleans, LA, June 26-29, 2016) [Acceptance Rate = 38%].
64.Clarke, P., Davis, D., Fu, Y., Kiper, J., & Walia, G. (2016). Integrating testing into CS/IT courses supported by a cyberlearning environment. In Proceedings of the Envisioning the Future of Undergraduate STEM Education (EnFUSE) Conference (Washington, DC).
65.Goswami, A.*, & Walia, G. (2015). Using learning styles of software professionals to improve their inspection team performance. International Journal of Software Engineering and Knowledge Engineering.
66.Lacher, L., Walia, G., Fagerholm, F., Pagels, M., Nygard, E. K., & Münch, J. (2015). A behavior marker tool for measurement of the non-technical skills of software professionals: An empirical investigation. International Journal of Software Engineering and Knowledge Engineering.
67.Radermacher, A.*, Walia, G., & Knudson, K. (2015, January). Missed expectations: Where CS students fall short in the software industry. CrossTalk – The Journal of Defense Software Engineers.
68.Goswami, A.*, Walia, G., & Singh, A. (2015). Using learning styles of software professionals to improve their inspection team performance. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE) (Pittsburgh, USA, July 6-8, 2015) [Acceptance Rate = 29.2%].
69.Lacher, L., Walia, G., Fagerholm, F., Pagels, M., Nygard, E. K., & Münch, J. (2015). A behavior marker tool for measurement of the non-technical skills of software professionals: An empirical investigation. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE) (Pittsburgh, USA, July 6-8, 2015) [Acceptance Rate = 29.2%].
70.Carver, J., Walia, G., & Bradshaw, G. (2015, May 23). First international workshop on applications of human error research to improve software engineering (WAHESE 2015). In Proceedings of the International Conference on Software Engineering (ICSE) (Florence, Italy).
71.Roudaki, A.*, Kong, J., Walia, G., & Zheng, H. (2014, December). A framework for bimanual inter-device interaction. Journal of Visual Languages and Computing (JVLC).
72.Roudaki, A.*, Kong, J., & Walia, G. (2014, June). PhoneLens: A low-cost spatially aware, mobile interaction device. IEEE Transactions on Human-Machine Systems, 44(3), 301-314.
73.Roudaki, A.*, Kong, J., & Walia, G. (2014, August). A framework for bimanual inter-device interaction. In Proceedings of the International Conference on Distributed Multimedia Systems (Pennsylvania, USA) [Acceptance Rate = 39%].
74.Sharma, S.*, Walia, G., & Magel, K. (2014, July). Does domain knowledge increase creativity during requirements development: An empirical study. In Proceedings of the International Conference on Software Engineering Research and Practice [Acceptance Rate = 28%].
75.Khosla, S.*, Bender, L., Walia, G., & Nygard, K. (2014, July). Female factor and team projects - A social sensitivity perspective. In Proceedings of the International Conference on Software Engineering Research and Practice [Acceptance Rate = 28%].
76.Goswami, A.*, Walia, G., & Abufardeh, S. (2014, July). Using a web-based testing tool repository in programming course: An empirical study. In Proceedings of the International Conference on Frontiers in Education: Computer Science and Engineering [Acceptance Rate = 27%].
77.Radermacher, A.*, Walia, G., Abufardeh, S., & Myronovych, O. (2014, July). Guidelines for implementing pair programming in introductory CS courses: Experience report. In Proceedings of the International Conference on Frontiers in Education: Computer Science and Engineering (FECS) [Acceptance Rate = 27%].
78.Bender, L.*, Walia, G., Fagerholm, F., Pagels, M., & Nygard, K. (2014, July). Measurement of the non-technical skills of software professionals: An empirical investigation. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE) (Vancouver, Canada) [Acceptance Rate = 29.6%].
79.Goswami, A.*, & Walia, G. (2014, July). Improving the cost effectiveness of software inspection teams: An empirical investigation. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE) (Vancouver, Canada) [Acceptance Rate = 29.6%].
80.Hegde, R.*, & Walia, G. (2014, July). How to enhance the creativity of software developers: A systematic literature review. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE) (Vancouver, Canada) [Acceptance Rate = 29.6%].
81.Gupta, M., Aceituna, D., Walia, G., & Do, H. (2014, July). Evaluating the use of model-based requirement verification method: An empirical study. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE) (Vancouver, Canada) [Acceptance Rate = 29.6%].
82.Aceituna, D.*, Walia, G., Do, H., & Lee, S. W. (2014, March). Model-based requirements verification method: Conclusions from two controlled experiments. Information and Software Technology Journal (JIST), 56(3), 321-344.
83.Radermacher, A.*, Walia, G., & Knudson, D. (2014, May 31 - June 7). Investigating the skill gap between graduating students and industry expectations. In Proceedings of the International Conference on Software Engineering (SEET Track) (Hyderabad, India) [Acceptance Rate = 16%].
84.Clarke, P., Fu, Y., Kiper, J., & Walia, G. (2014). Integrating software testing into programming courses. In Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE) (Atlanta, GA, USA).
85.Walia, G., & Carver, J. (2013, August). Using error abstraction and classification to improve the quality of requirements: Conclusions from family of studies. International Journal of Empirical Software Engineering (ESE), 18(4), 625-658.
86.Walia, G., & Carver, J. (2013). Using capture-recapture models for make objective post-inspection decisions. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE) (Industry Track) (Pasadena, CA, USA) [Acceptance Rate = 35%, BEST INDUSTRY PAPER AWARD]. 
87.Walia, G., & Carver, J. (2013). Using error information to improve software quality. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE) (Industry Track) (Pasadena, CA, USA) [Acceptance Rate = 35%, BEST INDUSTRY PAPER SESSION]. 
88.Goswami, A.*, & Walia, G. (2013). An empirical study of the effect of learning styles on the faults found during the software inspection. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE) (Research Track) (Pasadena, CA, USA) [Acceptance Rate = 35%, BEST RESEARCH PAPER AWARD]. 
89.Radermacher, A.*, & Walia, G. (2013). Gaps between industry expectations and the abilities of graduates: Systematic literature review findings. In Proceedings of the ACM Technical Symposium on Computer Science Educational (SIGCSE) (Denver, Colorado, USA, March 6-9, 2013) [Acceptance Rate = 37.8%].
90.Potala, Y., Annadi, R., Kong, J., Walia, G., & Nygard, K. (2012). Adapting web page tables on mobile devices. International Journal of Handheld Computing Research, 3(1), 1-22.
91.Radermacher, A.*, & Walia, G. (2012, September 10-12). Improving student learning outcomes with pair programming. In Proceedings of the ACM International Conference on Computing Educational Research (Auckland, New Zealand) [Acceptance Rate = 39%].
92.Bender, L., Walia, G., Kambhampaty, K., Nygard, K. E., & Nygard, T. E. (2012, September 10-12). Social sensitivity correlations with the effectiveness of team process performance: An empirical study. In Proceedings of the ACM International Conference on Computing Educational Research (Auckland, New Zealand) [Acceptance Rate = 39%].
93.Mandala, N.*, Walia, G., Carver, J., & Nagappan, N. (2012, September 19-20). Application of Kusumoto cost-metric to evaluate the cost effectiveness of software inspections. In Proceedings of the ACM-IEEE International Symposium on Empirical Software Engineering (ESEM) (Lund University, Sweden) [Acceptance Rate = 25%].
94.Mandala, N.*, & Walia, G. (2012, July 1-3). Evaluating the cost-effectiveness of inspecting the requirement documents: An empirical study. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE) (Redwood City, San Francisco Bay, USA) [Acceptance Rate = 33%].
95.Bender, L., Walia, G., Kambhampaty, K., Nygard, K. E., & Nygard, T. E. (2012, July 16-19). Strategies for teaching ideation and ethics in computer science classroom. In Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS) (Nevada, USA) [Acceptance Rate = 29%].
96.Radermacher, A.*, Walia, G., & Rummelt, R. (2012, February 29 - March 3). Assigning student programming pairs based on their mental model. In Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE) (Raleigh, North Carolina, USA) [Acceptance Rate = 34.6%].
97.Bender, L., Walia, G., Kambhampaty, K., Nygard, K. E., & Nygard, T. E. (2012, February 29 - March 3). Social sensitivity and classroom team projects: An empirical investigation. In Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE) (Raleigh, North Carolina, USA) [Acceptance Rate = 34.6%].
98.Aceituna, D.*, Do, H., Walia, G., & Lee, S. W. (2011, August 30). Evaluating the use of model-based requirements verification method: A feasibility study. In Proceedings of the IEEE International Workshop on Empirical Requirements Engineering (Empire) (Trento, Italy) [Acceptance Rate = 30%].
99.Nygard, K. E., Bender, L.*, Walia, G., Kong, J., Gagneja, K., & LeNoue, M. (2011, July 18-21). Collaboration using social networks for team projects. In Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS) (Nevada, USA) [Acceptance Rate = 23%].
100.Radermacher, A.*, & Walia, G. (2011, May 22-24). Investigating student-instructor interactions when using pair programming: An empirical study. In Proceedings of the IEEE Conference on Software Engineering Education and Training (CSEE&T) (Hawaii) [Acceptance Rate = 30%].
101.Radermacher, A.*, & Walia, G. (2011). Investigating the effective implementation of pair programming: An empirical investigation. In Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE) (Texas, USA) [Acceptance Rate = 34%].
102.Walia, G., & Carver, J. (2010, November 1-4). Evaluate the use of requirement error abstraction and classification method for preventing errors during artifact creation: A feasibility study. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE) (San Jose, California, USA) [Acceptance Rate = 31%].
103.Walia, G., & Carver, J. (2009, April 1-4). Evaluating the effect of the number of naturally occurring faults on the estimates produced by capture-recapture models. In Proceedings of the IEEE International Conference on Software Testing, Verification, and Validation (ICST) (Denver, CO, USA) [Acceptance Rate = 23%].
104.Walia, G., & Carver, J. (2009, July). A systematic literature review to identify and classify software requirement errors. Information and Software Technology (JIST), 51(7), 1087-1109. (Also appeared in IST Special Issue: Software Engineering for Secure Systems).
105.Walia, G., & Carver, J. (2008, November 10-14). The effect of the number of defects on estimates produced by capture-recapture models. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE) (Seattle) [Acceptance Rate = 30%].
106.Walia, G., Carver, J., & Nagappan, N. (2008, October 9-10). Evaluation of capture-recapture models for estimating the abundance of naturally occurring defects. In Proceedings of the ACM-IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (Kaiserslautern, Germany) [Acceptance Rate = 28%].
107.Walia, G., Carver, J., & Philip, T. (2008, May 10-18). The effect of the number of inspectors on the defect estimates produced by capture-recapture models. In Proceedings of the ACM/IEEE International Conference on Software Engineering (ICSE) (Leipzig, Germany) [Acceptance Rate = 15%].
108.Walia, G., Carver, J., & Philip, T. (2007, November 5-9). Requirement error abstraction and classification: A control group replicated study. In Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE) (Sweden) [Acceptance Rate = 30%].
109.Walia, G., & Carver, J. (2007, September 21-22). Requirements error abstraction and classification: An empirical study. In Proceedings of the International Symposium on Empirical Software Engineering (Brazil) [Acceptance Rate = 46%].