Applying value stream mapping in measuring software team performance through task monitoring

Monitoring team performance is crucial in group work to ensure equal contribution among team members. However, measuring the efficiency of the team members in educational field is difficult because the existing measurement techniques are difficult to be applied. Thus, a practical mechanism to monito...

Full description

Saved in:

Bibliographic Details
Main Author:	Ku Munirah, Ku Aman
Format:	Thesis
Language:	eng eng
Published:	2014
Subjects:	T58.5-58.64 Information technology
Online Access:	https://etd.uum.edu.my/4371/1/s811427.pdf https://etd.uum.edu.my/4371/7/s811427_abstract.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uum-etd.4371
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Omar, Mazni
topic	T58.5-58.64 Information technology T58.5-58.64 Information technology
spellingShingle	T58.5-58.64 Information technology T58.5-58.64 Information technology Ku Munirah, Ku Aman Applying value stream mapping in measuring software team performance through task monitoring
description	Monitoring team performance is crucial in group work to ensure equal contribution among team members. However, measuring the efficiency of the team members in educational field is difficult because the existing measurement techniques are difficult to be applied. Thus, a practical mechanism to monitor the group members’ efficiency is highly needed. This study is intended to fill this gap by proposing a technique to measure the group efficiency using Value Stream Mapping (VSM).This technique was mainly used in industry because it is able to measure the efficiency of manufacturing process and visualize it. This study consists of four main phases, which are conceptual study, design Team Performance Task Monitoring (TPTM) Technique using Value Stream Mapping (VSM), evaluation of TPTM, and writing a report. A pilot study was carried out to assess the suitability of the applied technique. Finally, findings and recommendations for future research were discussed. It concluded that VSM technique is able to view the efficiency of team members in educational tasks. Thus, it can help students to improve their performance in their learning process. It also helps educators to review the level of difficulty in assigning assignment and prepare intervention plan to improve teaching methods
format	Thesis
qualification_name	other
qualification_level	Master's degree
author	Ku Munirah, Ku Aman
author_facet	Ku Munirah, Ku Aman
author_sort	Ku Munirah, Ku Aman
title	Applying value stream mapping in measuring software team performance through task monitoring
title_short	Applying value stream mapping in measuring software team performance through task monitoring
title_full	Applying value stream mapping in measuring software team performance through task monitoring
title_fullStr	Applying value stream mapping in measuring software team performance through task monitoring
title_full_unstemmed	Applying value stream mapping in measuring software team performance through task monitoring
title_sort	applying value stream mapping in measuring software team performance through task monitoring
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2014
url	https://etd.uum.edu.my/4371/1/s811427.pdf https://etd.uum.edu.my/4371/7/s811427_abstract.pdf
_version_	1747827724996575232
spelling	my-uum-etd.43712022-05-23T02:30:43Z Applying value stream mapping in measuring software team performance through task monitoring 2014 Ku Munirah, Ku Aman Omar, Mazni Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences T58.5-58.64 Information technology HD28-70 Management. Industrial Management Monitoring team performance is crucial in group work to ensure equal contribution among team members. However, measuring the efficiency of the team members in educational field is difficult because the existing measurement techniques are difficult to be applied. Thus, a practical mechanism to monitor the group members’ efficiency is highly needed. This study is intended to fill this gap by proposing a technique to measure the group efficiency using Value Stream Mapping (VSM).This technique was mainly used in industry because it is able to measure the efficiency of manufacturing process and visualize it. This study consists of four main phases, which are conceptual study, design Team Performance Task Monitoring (TPTM) Technique using Value Stream Mapping (VSM), evaluation of TPTM, and writing a report. A pilot study was carried out to assess the suitability of the applied technique. Finally, findings and recommendations for future research were discussed. It concluded that VSM technique is able to view the efficiency of team members in educational tasks. Thus, it can help students to improve their performance in their learning process. It also helps educators to review the level of difficulty in assigning assignment and prepare intervention plan to improve teaching methods 2014 Thesis https://etd.uum.edu.my/4371/ https://etd.uum.edu.my/4371/1/s811427.pdf text eng public https://etd.uum.edu.my/4371/7/s811427_abstract.pdf text eng public http://sierra.uum.edu.my/record=b1262551~S1 other masters Universiti Utara Malaysia Amaral, L. M. G., & Faria, J. P. (2010). A Gap Analysis Methodology for the Team Software Process. 2010 Seventh International Conference on the Quality of Information and Communications Technology, 424–429. doi: 10.1109/QUATIC.2010.78. Arlbjørn, J. S., Freytag, P. V., & Haas, H. De. (2011). Service supply chain management: A survey of lean application in the municipal sector. International Journal of Physical Distribution & Logistics Management, 41(3), 277–295. doi: 10.1108/09600031111123796. Beja, I. P. De, Superior, E., Tecnologia, D., & Barros, J. P. (2010). Assessment and grading for CS1: Towards a complete toolbox of criteria and techniques. Bryant, D. U., Mitcham, M., Araiza, A. R., & Leung, W. M. (2011). The interaction of self-monitoring and organizational position on perceived effort. Journal of Managerial Psychology, 26(2), 138–154. doi: 10.1108/0268394 1111102173. Chen, J., Qiu, G., Yuan, L., Zhang, L., & Lu, G. (2011). Assessing Teamwork Performance in Software Engineering Education : A Case in a Software Engineering Undergraduate Course, 17–24. doi: 10.1109/APSC.2011.50. Chen, Z.-X., & Tan, K. H. (2011). The perceived impact of JIT implementation on operations performance: Evidence from Chinese firms. Journal of Advances in Management Research, 8(2), 213–235. doi: 10.1108/09727981111175957. Cox, C., & Llc, G. G. (2004). Understanding Lean Principles that Dramatically Impact Process Performance Facilitators. Doctor, F., & Iqbal, R. (2012). An intelligent framework for monitoring student performance using fuzzy rule-based Linguistic Summarisation. 2012 IEEE International Conference on Fuzzy Systems, 1–8. doi:10.1109/FUZZIEEE.2012.6251312. Fahmi, S. A., & Choi, H.-J. (2008). A Survey on Team Software Process Supporting Tools. 2008 Third International Conference on Convergence and Hybrid Information Technology, 987–990. doi: 10.1109/ICCIT.2008.308. Froyd, J. (2002). Understanding Conflict and Conflict Management. Retrieved from http://www.foundationcoalition. org/teams. Garg, K., & Varma, V. (2007). A Study of the Effectiveness of Case Study Approach in Software Engineering Education. 20th Conference on Software Engineering Education & Training (CSEET’07), 309–316. doi: 10.1109/CSEET.2007.8. Gurumurthy, A., & Kodali, R. (2011). Design of lean manufacturing systems using value stream mapping with simulation: A case study. Journal of Manufacturing Technology Management, 22(4), 444–473. doi: 10.1108/1741038 1111126409. Juan, A. a., Daradoumis, T., Faulin, J., & Xhafa, F. (2008). Developing an Information System for Monitoring Student’s Activity in Online Collaborative Learning. 2008 International Conference on Complex, Intelligent and Software Intensive Systems, 270–275. doi: 10.1109/CISIS.2008.59. Keskin, C. (2012). Value Stream Maps for Industrial Energy Efficiency 2, 2824–2831. Lasa, I. S., Laburu, C. O., & Vila, R. D. C. (2008). An evaluation of the value stream mapping tool. Business Process Management Journal, 14(1), 39–52. doi: 10.1108/14637150810849391. Liang, H., Guo, W., & Yu, H. (2008). Research on logistics control strategy for Pokayoke on mixed-model assembly lines. 2008 3rd IEEE Conference on Industrial Electronics and Applications, (1), 1654–1659. doi: 10.1109/ICIEA.2008.4582800. Nishimura, T., Kawasaki, S., & Tominaga, H. (2011). Monitoring system of student situation in introductory C programming exercise with a contest style. 2011 International Conference on Information Technology Based Higher Education and Training, 1–6. doi: 10.1109/ITHET.2011.6018 693. Omar, M. (2012). The effectiveness of an agile software methodology: Empirical evidence on humanistic aspects. Universiti Teknologi MARA, Shah Alam. Over, J. (2010). This tutorial answers the following questions: Retrieved from http://www.sei.cmu.edu/. Piercy, N., & Rich, N. (2009). Lean transformation in the pure service environment: the case of the call service centre. International Journal of Operations & Production Management, 29(1), 54–76. doi: 10.1108/01443570910925361. Razali, R., Najafi, P., Mirisaee, S. H., & Teknologi, F. (2010). Combining Use Case Diagram and Integrated Definition’ s IDEF0– A Preliminary Study, 0, 231–236. Rong, G., & Shao, D. (2012). Delivering Software Process-Specific Project Courses in Tertiary Education Environment: Challenges and Solution. 2012 IEEE 25th Conference on Software Engineering Education and Training, 52–61. doi: 10.1109/CSEET.2012.20. Seth, D., Seth, N., & Goel, D. (2008). Application of value stream mapping (VSM) for minimization of wastes in the processing side of supply chain of cottonseed oil industry in Indian context. Journal of Manufacturing Technology Management, 19(4), 529–550. doi: 10.1108/17410380810869950. Stone, K. B. (2012). Four decades of lean: a systematic literature review. International Journal of Lean Six Sigma, 3(2), 112–132. doi: 10.1108/2040146121124 3702. Sudhakar, G. P., Farooq, A., & Patnaik, S. (2011). Soft factors affecting the performance of software development teams. Team Performance Management, 17(3/4), 187–205. doi: 10.1108/13527591111143718. Sussy, B. O., Calvo-Manzano, J. a., Gonzalo, C., & Tomás, S. F. (2008). Teaching Team Software Process in Graduate Courses to Increase Productivity and Improve Software Quality. 2008 32nd Annual IEEE International Computer Software and Applications Conference, 440–446. doi: 10.1109/ COMPSAC.2008.135. Swigger, K., Serce, F. C., Alpaslan, F. N., Brazile, R., Dafoulas, G., & Lopez, V. (2009). A Comparison of Team Performance Measures for Global Software Development Student Teams. 2009 Fourth IEEE International Conference on Global Software Engineering, 267–274. doi: 10.1109/ICGSE.2009.36 Taylor, D. H. (2005). Value chain analysis: an approach to supply chain improvement in agri- food chains. International Journal of Physical Distribution & Logistics Management, 35(10), 744–761. doi: 10.1108/09600030510634599. Vinodh, S., Arvind, K. R., & Somanaathan, M. (2010). Application of value stream mapping in an Indian camshaft manufacturing organisation. Journal of Manufacturing Technology Management, 21(7), 888–900. doi: 10.1108/17410381011077973. Vivian, R., Falkner, K., & Falkner, N. (2013). Analysing computer science students’ teamwork role adoption in an online self-organised teamwork activity. Proceedings of the 13th Koli Calling International Conference on Computing Education Research-Koli Calling ’13, 105–114. doi: 10.1145/2526968.2526980. Wee, H. M., & Wu, S. (2009). Lean supply chain and its effect on product cost and quality: a case study on Ford Motor Company. Supply Chain Management: An International Journal, 14(5), 335–341. doi: 10.1108/13598540910980242. Xiang, Z., & Zhi-qing, S. (2009). ASM Semantic Modeling and Checking for Sequence Diagram. 2009 Fifth International Conference on Natural Computation, 527–530. doi: 10.1109/ICNC.2009.218 Xie, Y., & Peng, Q. (2012). Integration of value stream mapping and agent-based modeling for OR improvement. Business Process Management Journal, 18(4), 585–599. doi: 10.1108/1463715121 1253747. Yang, N., Yu, H., Sun, H., & Qian, Z. (2012). Modeling UML Activity Diagrams with Aspect Oriented Data Concerned Petri Nets. Zhang, L. (2013). <IT>Kanban</IT>-controlled exponential production lines: analysis and design. Journal of Manufacturing Technology Management, 24(3), 358–383. doi: 10.1108/1741038 1311318873. Zhu, J., Chen, S., & Lu, Q. (2010). Measuring Member Performance in Multifunctional R & D Teams : An Empirical Study with GAHP Analysis, 507–511. Amaral, L. M. G., & Faria, J. P. (2010). A Gap Analysis Methodology for the Team Software Process. 2010 Seventh International Conference on the Quality of Information and Communications Technology, 424– 429. doi: 10.1109/QUATIC.2010.78. Arlbjørn, J. S., Freytag, P. V., & Haas, H. De. (2011). Service supply chain management: A survey of lean application in the municipal sector. International Journal of Physical Distribution & Logistics Management, 41(3), 277–295. doi: 10.1108/09600031111123796. Beja, I. P. De, Superior, E., Tecnologia, D., & Barros, J. P. (2010). Assessment and grading for CS1: Towards a complete toolbox of criteria and techniques. Bryant, D. U., Mitcham, M., Araiza, A. R., & Leung, W. M. (2011). The interaction of self- monitoring and organizational position on perceived effort. Journal of Managerial Psychology, 26(2), 138–154. doi: 10.1108/0268394 1111102173. Chen, J., Qiu, G., Yuan, L., Zhang, L., & Lu, G. (2011). Assessing Teamwork Performance in Software Engineering Education : A Case in a Software Engineering Undergraduate Course, 17–24. doi: 10.1109/APSC.2011.50. Chen, Z.-X., & Tan, K. H. (2011). The perceived impact of JIT implementation on operations performance: Evidence from Chinese firms. Journal of Advances in Management Research, 8(2), 213–235. doi: 10.1108/09727981111175957. Cox, C., & Llc, G. G. (2004). Understanding Lean Principles that Dramatically Impact Process Performance Facilitators. Doctor, F., & Iqbal, R. (2012). An intelligent framework for monitoring student performance using fuzzy rule-based Linguistic Summarisation. 2012 IEEE International Conference on Fuzzy Systems, 1–8. doi: 10.1109/FUZZIEEE.2012.6251312. Fahmi, S.A., & Choi, H.-J. (2008). A Survey on Team Software Process Supporting Tools. 2008 Third International Conference on Convergence and Hybrid Information Technology, 987–990. doi: 10.1109/ICCIT.2008.308. Froyd, J. (2002). Understanding Conflict and Conflict Management. Retrieved from http://www.foundationcoalition. org/teams. Garg, K., & Varma, V. (2007). A Study of the Effectiveness of Case Study Approach in Software Engineering Education. 20th Conference on Software Engineering Education & Training (CSEET’07), 309–316. doi: 10.1109/CSEET.2007.8. Gurumurthy, A., & Kodali, R. (2011). Design of lean manufacturing systems using value stream mapping with simulation: A case study. Journal of Manufacturing Technology Management, 22(4), 444–473. doi: 10.1108/17410381111126409. Juan, A. a., Daradoumis, T., Faulin, J., & Xhafa, F. (2008). Developing an Information System for Monitoring Student’s Activity in Online Collaborative Learning. 2008 International Conference on Complex, Intelligent and Software Intensive Systems, 270–275. doi: 10.1109/CISIS.2008.59. Keskin, C. (2012). Value Stream Maps for Industrial Energy Efficiency 2, 2824–2831. Lasa, I. S., Laburu, C. O., & Vila, R. D. C. (2008). An evaluation of the value stream mapping tool. Business Process Management Journal, 14(1), 39–52. doi: 10.1108/146371508108 49391. Liang, H., Guo, W., & Yu, H. (2008). Research on logistics control strategy for Pokayoke on mixed-model assembly lines. 2008 3rd IEEE Conference on Industrial Electronics and Applications, (1), 1654–1659. doi: 10.1109/ ICIEA.2008.4582800. Nishimura, T., Kawasaki, S., & Tominaga, H. (2011). Monitoring system of student situation in introductory C programming exercise with a contest style. 2011 International Conference on Information Technology Based Higher Education and Training, 1–6. doi: 10.1109/ITHET.2011.6018693. Omar, M. (2012). The effectiveness of an agile software methodology: Empirical evidence on humanistic aspects. Universiti Teknologi MARA, Shah Alam. Over, J. (2010). This tutorial answers the following questions : Retrieved from http://www.sei.cmu.edu/. Piercy, N., & Rich, N. (2009). Lean transformation in the pure service environment: the case of the call service centre. International Journal of Operations & Production Management, 29(1), 54–76. doi: 10.1108/01443570910925361. Razali, R., Najafi, P., Mirisaee, S. H., & Teknologi, F. (2010). Combining Use Case Diagram and Integrated Definition’s IDEF0– A Preliminary Study, 0, 231–236. Rong, G., & Shao, D. (2012). Delivering Software Process-Specific Project Courses in Tertiary Education Environment: Challenges and Solution. 2012 IEEE 25th Conference on Software Engineering Education and Training, 52–61. doi: 10.1109/CSEET.2012.20. Seth, D., Seth, N., & Goel, D. (2008). Application of value stream mapping (VSM) for minimization of wastes in the processing side of supply chain of cottonseed oil industry in Indian context. Journal of Manufacturing Technology Management, 19(4), 529–550. doi: 10.1108/17410380810869950. Stone, K. B. (2012). Four decades of lean: a systematic literature review. International Journal of Lean Six Sigma, 3(2), 112–132. doi: 10.1108/204014612112 43702. Sudhakar, G. P., Farooq, A., & Patnaik, S. (2011). Soft factors affecting the performance of software development teams. Team Performance Management, 17(3/4), 187–205. doi: 10.1108/13527591111143718. Sussy, B. O., Calvo-Manzano, J. a., Gonzalo, C., & Tomás, S. F. (2008). Teaching Team Software Process in Graduate Courses to Increase Productivity and Improve Software Quality. 2008 32nd Annual IEEE International Computer Software and Applications Conference, 440–446. doi: 10.1109/ COMPSAC.2008.135. Swigger, K., Serce, F. C., Alpaslan, F. N., Brazile, R., Dafoulas, G., & Lopez, V. (2009). A Comparison of Team Performance Measures for Global Software Development Student Teams. 2009 Fourth IEEE International Conference on Global Software Engineering, 267–274. doi: 10.1109/ICGSE.2009.36 Taylor, D. H. (2005). Value chain analysis: an approach to supply chain improvement in agri- food chains. International Journal of Physical Distribution & Logistics Management, 35(10), 744–761. doi: 10.1108/09600030510634599. Vinodh, S., Arvind, K. R., & Somanaathan, M. (2010). Application of value stream mapping in an Indian camshaft manufacturing organisation. Journal of Manufacturing Technology Management, 21(7), 888–900. doi: 10.1108/17410381011077973. Vivian, R., Falkner, K., & Falkner, N. (2013). Analysing computer science students’ teamwork role adoption in an online self-organised teamwork activity. Proceedings of the 13th Koli Calling International Conference on Computing Education Research- Koli Calling ’13, 105–114. doi: 10.1145/2526968.2526980. Wee, H. M., & Wu, S. (2009). Lean supply chain and its effect on product cost and quality: a case study on Ford Motor Company. Supply Chain Management: An International Journal, 14(5), 335–341. doi: 10.1108/13598540910980242. Xiang, Z., & Zhi-qing, S. (2009). ASM Semantic Modeling and Checking for Sequence Diagram. 2009 Fifth International Conference on Natural Computation, 527–530. doi: 10.1109/ICNC.2009.218 Xie, Y., & Peng, Q. (2012). Integration of value stream mapping and agent-based modeling for OR improvement. Business Process Management Journal, 18(4), 585–599. doi: 10.1108/1463715121 1253747. Yang, N., Yu, H., Sun, H., & Qian, Z. (2012). Modeling UML Activity Diagrams with Aspect Oriented Data Concerned Petri Nets. Zhang, L. (2013). <IT>Kanban</IT>-controlled exponential production lines: analysis and design. Journal of Manufacturing Technology Management, 24(3), 358–383. doi: 10.1108/1741038 1311318873. Zhu, J., Chen, S., & Lu, Q. (2010). Measuring Member Performance in Multifunctional R & D Teams : An Empirical Study with GAHP Analysis, 507–511.

Applying value stream mapping in measuring software team performance through task monitoring

Similar Items