INFORMATION PROJECTS QUALITY MODEL
DOI:
https://doi.org/10.53555/eijse.v6i1.1Keywords:
Information Quality, Information Projects, Information Systems, Project Management, Quality ManagementAbstract
The requirement to establish a quality model has been felt by users for the purpose of evaluating the software quality quantitatively and qualitatively.
Information quality literature has provided a great amount of proposals for assessing the quality of information, but there is still a need to develop frameworks for assessing and improving the quality of information from the information consumer and the organizational point of view in the perspective of the information project classification. Moreover, for each dimension there must be set a clear definition what it represents, in order to be able to compare it for any type of Information Project (i.e. Information System) throughout its life cycle [2].
In order to improve the quality of information projects, it is required to present an information project quality improvement model that can be iterative measured and improved, during a period of time. Quality improvement is an iterative process that requires planning, execution, checks and feedback from the information consumers (IS users) in the organization. By this process, during a certain time frame, the quality of the project can be improved and reach higher business performances. Therefore, the quality activities are performed on a time scale, all along with the project's life cycle, in order to achieve an effective improvement of the project quality.
References
. Sanjay Kumar Dubey SG, Prof. (Dr.) Ajay Rana. Comparison of Software Quality Models: An Analytical Approach. International Journal of Emerging Technology and Advanced Engineering 2012, 2.
. Ran B. Quantifying Information Quality. Studia Universitatis Moldaviae 2015, 7:86-97.
. Schlögl C. Wissenschaftslandkarte Informations management. Wirtschaftsinformatik 2003, 45:7-16.
. Schlögl C. Information and knowledge management: dimensions and approaches. Information Research 2005, 10.
. Gianniris D. The Eze Castle Project Management Diamond. In: Hedge IT Blog; 2010.
. Dominguez J. The Curious Case of the CHAOS Report 2009. 2009.
. Champa Hewagamage KPH. Redesigned Framework and Approach for IT Project Management. International Journal of Software Engineering and Its Applications 2011, 5:89-106.
. International SG. CHAOS Manifesto 2012. 2012.
. International SG. CHAOS Manifesto 2013. 2013.
. Bull. Failure Causes Statistics - The Bull Survey (1998). In. Edited by Cortex I; 1998.
. Wilson D. Software project failure rates. In: Musings on software engineering etc.; 2014.
. Bronte-Stewart M. Risk Estimation from Technology Project Failure. 4th European Conference on Management of Technology 2009.
. Robertson J. 10 principles of effective information management. In: Step Two; 2005.
. http://conceptdraw.com/. 5 Level pyramid model diagram - Information systems types. In. Edited by ConceptDraw.
. Foster H. From Paradox to Paradise. In: Evolving SoC Functional Verification Capabilities: Mentor Graphics Corp.; 2012.
. Behn RD. Why Measure Performance? Different Purposes Require Different Measures. Public Administration Review 2003, 63:586-606.
. Firesmith DG. Common Concepts Underlying Safety, Security, and Survivability Engineering Carnegie Mellon University 2003, Technical Note CMU/SEI-2003-TN-033.
. Bevan N. Quality and usability: A new framework. Van Veenendaal, E, and McMullan, J (Eds) Achieving software product quality 1997.
. Patrik Berander L-OD, Jeanette Eriksson, Tony Gorschek, Kennet Henningsson, Per Jönsson, Simon Kågström, Drazen Milicic, Frans Mårtensson, Kari Rönkkö, Piotr Tomaszewski. Software quality attributes and trade-offs. Blekinge Institute of Technology 2005.
. G. Bazzana OA, T. Jokela. ISO 9126 and ISO 9000: friends or foes? Software Engineering Standards Symposium 1993:79-88.
. MARC-ALEXIS CÔTÉ WS, ROBERT A. MARTIN, CLAUDE Y. LAPORTE. Evolving a Corporate Software Quality Assessment Exercise: A Migration Path to ISO/IEC 9126. SOFTWARE QUALITY PROFESSIONAL 2004, 6:4-17.
. Sqa.net. An overview of the ISO 9126-1 software quality model definition, with an explanation of the major characteristics. In: ISO 9126 Software Quality Characteristics: http://www.sqa.net/.
. ISO. Information technology - Software product quality. In: Part 1: Quality model: ISO/IEC; 2000.
. Francisca Losavio LC, Nicole Lévy, Amar Ramdane-Cherif. Quality Characteristics for Software Architecture. JOURNAL OF OBJECT TECHNOLOGY 2003, 2:133-150.
. Yang W. Lee DMS, Beverly K. Kahn, Richard Y. Wang. AIMQ: A Methodology for Information Quality Assessment Information & Management 2002, 40:133-146.
. Felix N. Quality-Driven Query Answering for Integrated Information Systems: Springer-Verlag Berlin Heidelberg; 2002.
. Leo L. Pipino YWL, Richard Y. Wang. Data Quality Assessment. Communications of the ACM 2002, 45:211-218.
. Bizer C. Quality-Driven Information Filtering in the Context of Web-Based Information Systems: Freie Universitat Berlin; 2007.
. Besiki Stvilia LG, Michael B. Twidale, and Linda C. Smith. A Framework for Information Quality Assessment. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY 2007, 58:1720–1733.
. Ge Mouzhi HM, Jannach Dietmar. INFORMATION QUALITY ASSESSMENT: VALIDATING MEASUREMENT DIMENSIONS AND PROCESSES. ECIS 2011 Proceedings 2011.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 EPH - International Journal of Science And Engineering (ISSN: 2454 - 2016)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
