A Multi-layer Representation Model for the ISO/IEC 33000 Assessment Framework: Analysing Composition and Behaviour

Software Process Improvement (SPI) models are a very important topic for SPI workers as software engineering students that require a good comprehension of the process assessment models. This paper proposes a visual multi-layered representational model describing in a highly practical way the ISO/IEC 33000 Assessment Framework through of structural and behavioural views. This kind of representation comprises several semantic layers based on the dimensions of the key elements of the model with an additional dimension for specifying measurements. The structural elements of the model are assigned on distinct layers and connected through dependence and co-occurrence connector in applying the Assessment Model on software processes. The representation model was tested with software developers, academic experts and students.

[1]  Fabrizio Fabbrini,et al.  An ISO/IEC 33000-Compliant Measurement Framework for Software Process Sustainability Assessment , 2014, 2014 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement.

[2]  Zuhua Jiang,et al.  RDF-based innovative design knowledge represent , 2005, 2005 First International Conference on Semantics, Knowledge and Grid.

[3]  Reena T. N. Shetty,et al.  Hybrid Model for Knowledge Representation , 2006, 2006 International Conference on Hybrid Information Technology.

[4]  Qu Gang,et al.  An empirical study of the relationship between team social capital and knowledge transfer: Mediating role of transactive memory system , 2013, 2013 International Conference on Management Science and Engineering 20th Annual Conference Proceedings.

[5]  Wang Xiao-hong,et al.  Research on stability of knowledge transfer in virtual technology innovation team , 2010, 2010 International Conference on Management Science & Engineering 17th Annual Conference Proceedings.

[6]  Tony Gorschek,et al.  Evaluation and Measurement of Software Process Improvement—A Systematic Literature Review , 2012, IEEE Transactions on Software Engineering.

[7]  Tianying Chen,et al.  The Subject Knowledge Representation and Utilizations in E-Learning , 2010, 2010 2nd International Symposium on Information Engineering and Electronic Commerce.

[8]  Timo Varkoi,et al.  Constructing Process Measurement Scales Using the ISO/IEC 330xx Family of Standards , 2014, SPICE.

[9]  Ho-Won Jung,et al.  Investigating measurement scales and aggregation methods in SPICE assessment method , 2013, Inf. Softw. Technol..

[10]  Slobodan Ribaric,et al.  An object-oriented implementation of a knowledge representation scheme based on Fuzzy Petri nets , 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

[11]  Malek Ahmad Theeb Almomani,et al.  Software Process Improvement Initiatives in Small and Medium Firms: A Systematic Review , 2014, 2014 3rd International Conference on Advanced Computer Science Applications and Technologies.

[12]  Zhigao Chen,et al.  Effects of Social Network on Knowledge Transfer within R&D Team , 2009, 2009 International Conference on Information Management, Innovation Management and Industrial Engineering.

[13]  Witold Pedrycz,et al.  Knowledge Representation through Graphs , 2015, SCSE.

[14]  Ho-Won Jung,et al.  Evaluating the SPICE rating scale with regard to the internal consistency of capability measures , 2003, Softw. Process. Improv. Pract..

[15]  Junzo Watada,et al.  Evidence theory based knowledge representation , 2011, iiWAS '11.

[16]  Onur Demirörs,et al.  Developing Process Definition for Financial and Physical Resource Management Process in Government Domain , 2016, SPICE.

[17]  Alen Jakupovic,et al.  Comparison of the nodes of knowledge method with other graphical methods for knowledge representation , 2013, 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

[18]  Shahla Ghobadi,et al.  What drives knowledge sharing in software development teams: A literature review and classification framework , 2015, Inf. Manag..

[19]  Zbigniew Suraj.  Knowledge representation and reasoning based on generalised fuzzy Petri nets , 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

[20]  Valeria Fionda,et al.  Querying graphs with preferences , 2013, CIKM.