The world we live in today demands systems that make our lives easier and help us make the right choices on time. There exists a growing need for quality products that help us in our day to day activities. Easy-to-use computer-based decision support systems apply all available and applicable data with the correct model, knowledge and skill of decision makers to support the user to choose the best solution. It is therefore important to develop decision support systems correctly to be of value to the user. Looking at other information system developments, the author tries to suggest ways to develop decision support systems. System development methodologies are investigated to determine if they are able to address the development of the very important decision support system components. Five methodologies were discussed and researched for their theoretical suitability to address the development of decision support systems. The author performed qualitative research using case studies and semi-structured interviews to assess the use or non-use of system development methodologies in the development of decision support systems in a South African context. Content and cross-case analyses were used to achieve results that are discussed to broaden the knowledge on the development of decision support systems. The author provides some explanations to why system development methodologies were not used in the development of the case studies. This research not only contributes to the academic body of knowledge about using system development methodologies in the development of decision support systems, but could also be useful to developers embarking on a new decision support system development. / Thesis (MSc (Computer Science))--North-West University, Potchefstroom Campus, 2011.

The world we live in today demands systems that make our lives easier and help us make the right choices on time. There exists a growing need for quality products that help us in our day to day activities. Easy-to-use computer-based decision support systems apply all available and applicable data with the correct model, knowledge and skill of decision makers to support the user to choose the best solution. It is therefore important to develop decision support systems correctly to be of value to the user. Looking at other information system developments, the author tries to suggest ways to develop decision support systems. System development methodologies are investigated to determine if they are able to address the development of the very important decision support system components. Five methodologies were discussed and researched for their theoretical suitability to address the development of decision support systems. The author performed qualitative research using case studies and semi-structured interviews to assess the use or non-use of system development methodologies in the development of decision support systems in a South African context. Content and cross-case analyses were used to achieve results that are discussed to broaden the knowledge on the development of decision support systems. The author provides some explanations to why system development methodologies were not used in the development of the case studies. This research not only contributes to the academic body of knowledge about using system development methodologies in the development of decision support systems, but could also be useful to developers embarking on a new decision support system development. / Thesis (MSc (Computer Science))--North-West University, Potchefstroom Campus, 2011.

The aim of this study is to investigate whether a combination of agile system development methodologies (ASDMs) and project management methodologies (PMMs) can be used to develop a hybrid APMM that will have the ability to deliver information technology (IT) projects successfully in a constantly changing business and project environment. To achieve this objective, a literature review was conducted on the relatively well–established ASDMs by firstly defining a SDM and an ASDM. Each ASDM and its effectiveness are described, after which ASDMs in general are evaluated by considering their area of application, advantages and disadvantages. A comparison is then done of the seven different ASDMs using the four elements of an SDM (Huisman & Iivari, 2006:32) to emphasise some of the main similarities and differences amongst the different ASDMs. The seven ASDMs investigated in this study are Dynamic System Development Methodology, Scrum, Extreme Programming, Feature Driven Development, Crystal ASDMs ? Crystal Clear and Crystal Orange in particular, Adaptive Software Development and Lean Development. A literature review was also conducted on two structured and relatively well–established PMMs, PMBOK and PRINCE2, and a relatively new PMM called Agile Project Management. Each PMM is evaluated by considering their area of application, advantages, disadvantages and integration with other methodologies, after which a comparison is made of the different PMMs. The research was conducted by following a mixed methods research plan, which included the mixed methods research paradigm (combination of the interpretive research paradigm and the positivistic research paradigm), research methods (design science, case study and survey), quantitative and qualitative data–collection techniques (interviews and questionnaires), and dataanalysis techniques (cross–case and statistical). The reasons that projects fail and critical project success factors were studied and summarised to form the critical project success criteria, which were used to create the agile project success criteria. The ASDM best practice and PMM best practice frameworks were created by identifying whether a certain ASDM or PMM would satisfy a specific agile project success factor (APSF) of the agile project success criteria. The findings of each APSF in the respective frameworks were used as a foundation to develop a hybrid APMM (ver. 0) that would address the agile project success criteria. The hybrid APMM (ver. 0) was developed interpretively using design science (research approach) and constructivism by combining the strengths, addressing the weaknesses and bridging the gaps identified in the frameworks. The hybrid APMM (ver. 0) was then evaluated and improved by conducting an interpretive case study, which entailed interviewing participants from large and small organisations. Once the qualitative data collected had been analysed using cross–case analysis, the findings were incorporated in order to create an improved hybrid APMM (ver. 1). The hybrid APMM (ver. 1) too was evaluated and improved by conducting a survey, which entailed administering questionnaires to various respondents in order to collect quantitative and qualitative data. The findings of the statistical analysis of the data were also used to improve the hybrid APMM (ver. 1), resulting in the final hybrid APMM (ver. 2). This study demonstrates that a combination of ASDMs and PMMs can be used to develop a hybrid APMM with the ability to deliver IT projects in a constantly changing project and business environment. / Thesis (Ph.D. (Computer Science))--North-West University, Potchefstroom Campus, 2012.

The aim of this study is to investigate whether a combination of agile system development methodologies (ASDMs) and project management methodologies (PMMs) can be used to develop a hybrid APMM that will have the ability to deliver information technology (IT) projects successfully in a constantly changing business and project environment. To achieve this objective, a literature review was conducted on the relatively well–established ASDMs by firstly defining a SDM and an ASDM. Each ASDM and its effectiveness are described, after which ASDMs in general are evaluated by considering their area of application, advantages and disadvantages. A comparison is then done of the seven different ASDMs using the four elements of an SDM (Huisman & Iivari, 2006:32) to emphasise some of the main similarities and differences amongst the different ASDMs. The seven ASDMs investigated in this study are Dynamic System Development Methodology, Scrum, Extreme Programming, Feature Driven Development, Crystal ASDMs ? Crystal Clear and Crystal Orange in particular, Adaptive Software Development and Lean Development. A literature review was also conducted on two structured and relatively well–established PMMs, PMBOK and PRINCE2, and a relatively new PMM called Agile Project Management. Each PMM is evaluated by considering their area of application, advantages, disadvantages and integration with other methodologies, after which a comparison is made of the different PMMs. The research was conducted by following a mixed methods research plan, which included the mixed methods research paradigm (combination of the interpretive research paradigm and the positivistic research paradigm), research methods (design science, case study and survey), quantitative and qualitative data–collection techniques (interviews and questionnaires), and dataanalysis techniques (cross–case and statistical). The reasons that projects fail and critical project success factors were studied and summarised to form the critical project success criteria, which were used to create the agile project success criteria. The ASDM best practice and PMM best practice frameworks were created by identifying whether a certain ASDM or PMM would satisfy a specific agile project success factor (APSF) of the agile project success criteria. The findings of each APSF in the respective frameworks were used as a foundation to develop a hybrid APMM (ver. 0) that would address the agile project success criteria. The hybrid APMM (ver. 0) was developed interpretively using design science (research approach) and constructivism by combining the strengths, addressing the weaknesses and bridging the gaps identified in the frameworks. The hybrid APMM (ver. 0) was then evaluated and improved by conducting an interpretive case study, which entailed interviewing participants from large and small organisations. Once the qualitative data collected had been analysed using cross–case analysis, the findings were incorporated in order to create an improved hybrid APMM (ver. 1). The hybrid APMM (ver. 1) too was evaluated and improved by conducting a survey, which entailed administering questionnaires to various respondents in order to collect quantitative and qualitative data. The findings of the statistical analysis of the data were also used to improve the hybrid APMM (ver. 1), resulting in the final hybrid APMM (ver. 2). This study demonstrates that a combination of ASDMs and PMMs can be used to develop a hybrid APMM with the ability to deliver IT projects in a constantly changing project and business environment. / Thesis (Ph.D. (Computer Science))--North-West University, Potchefstroom Campus, 2012.