ADVANCED DECISION SUPPORT SYSTEM FOR SOFTWARE EVALUATION USING WEIGHTED SUM
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of Study
- 1.3Problem Statement
- 1.4Objective of Study
- 1.5Limitation of Study
- 1.6Scope of Study
- 1.7Significance of Study
- 1.8Structure of the Research
- 1.9Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Overview of Decision Support Systems
- 2.2Evolution of Decision Support Systems
- 2.3Types of Decision Support Systems
- 2.4Importance of Decision Support Systems
- 2.5Weighted Sum Methodology in Decision Making
- 2.6Applications of Weighted Sum in Decision Support Systems
- 2.7Case Studies Using Weighted Sum for Software Evaluation
- 2.8Critiques of Weighted Sum Methodology
- 2.9Emerging Trends in Decision Support Systems
- 2.10Integration of Weighted Sum in Advanced Decision Support Systems
Chapter THREE
SYSTEM DESIGN AND IMPLEMENTATION
- 3.1Research Design and Approach
- 3.2Selection of Research Method
- 3.3Data Collection Methods
- 3.4Sampling Techniques
- 3.5Data Analysis Procedures
- 3.6Reliability and Validity Measures
- 3.7Ethical Considerations
- 3.8Limitations of the Research Methodology
Chapter FOUR
SYSTEM TESTING AND EVALUATION
- 4.1Overview of Findings
- 4.2Analysis of Software Evaluation Using Weighted Sum
- 4.3Comparison with Other Evaluation Methods
- 4.4Impact of Weighted Sum on Decision Making
- 4.5Feedback from Stakeholders
- 4.6Implementation Challenges
- 4.7Recommendations for Improvement
- 4.8Future Research Directions
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion
- 5.3Contributions to Knowledge
- 5.4Practical Implications
- 5.5Recommendations for Practice
- 5.6Reflection on Research Process
- 5.7Areas for Future Research
- 5.8Closing Remarks
Thesis Abstract
Abstract
In the realm of software evaluation, decision-making processes play a crucial role in determining the most suitable software solutions for specific needs. This research project focuses on the development of an advanced Decision Support System (DSS) that incorporates the Weighted Sum Model to aid in the evaluation of software solutions. The Weighted Sum Model is a multi-criteria decision-making technique that allows decision-makers to assign weights to different criteria based on their relative importance. By calculating the weighted sum of the criteria for each software solution, the DSS can provide a quantitative assessment to support decision-making processes. The proposed DSS for software evaluation aims to address the complexities and subjectivity involved in selecting the most appropriate software solution. By integrating the Weighted Sum Model into the decision-making process, the DSS can effectively handle multiple criteria and provide a systematic approach to evaluating software solutions. This system enables decision-makers to define and prioritize evaluation criteria based on the specific requirements of the organization or project. Furthermore, the DSS utilizes a user-friendly interface that allows decision-makers to input criteria, assign weights, and evaluate software solutions easily. The system is designed to streamline the decision-making process by automating the calculation of weighted sums and presenting the results in a clear and concise manner. Additionally, the DSS can handle a large volume of data and conduct evaluations efficiently, saving time and effort for decision-makers. The research project also includes the development of a comprehensive database of software solutions and evaluation criteria to enhance the functionality of the DSS. By incorporating a diverse range of software options and criteria, the DSS can cater to various industries and application domains. This database will be continuously updated to ensure the relevance and accuracy of the software evaluation process. Overall, the advanced Decision Support System for software evaluation using the Weighted Sum Model offers a robust and reliable approach to selecting software solutions. By leveraging the capabilities of the Weighted Sum Model and integrating it into a user-friendly DSS, decision-makers can make informed decisions based on quantitative assessments. This research project contributes to the field of software evaluation by providing a systematic and efficient tool to support decision-making processes in selecting software solutions.
Thesis Overview
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</p><div><p><strong>INTRODUCTION</strong></p><p><strong>1.1 Background of the Study</strong></p><p>A successful evaluation is not simply picking a product based on intuition. It involves a formal process, the right mixture of evaluators, and a specific quantifiable set of evaluation criteria. The process should include how to handle differences in scoring by the evaluators. The task of choosing a software component for a specific function in order to integrate it in a software system is a typical case of multi-criteria decision making that frequently occurs in Software Engineering. Consider a decision maker with a set of components to fulfill a function in a software system, for example creating digital signatures on files. A number of decision factors will come into play such as functional suitability, security, performance efficiency, interoperability and costs. Some of these may pose conflicts: For example, increased security may come at the price of decreased performance efficiency or increased price. The decision maker has to follow a trustworthy and repeatable procedure to choose the component that best fulfills the objectives at hand (Becker et al, 2013). The domain of component selection presents an interesting case of multiple criteria decision support systems (MCDSS) since it exhibits a number of peculiarities:</p><ol><li>A comparably large number of decisions of a very similar kind is made.</li><li>The number of alternatives and decision criteria can be quite large.</li></ol><ul><li>The decision criteria are rather well understood in terms of the facets and quality aspects that are evaluated.</li></ul><p>However, the individual assessment of each criterion’s utility towards these aspects varies substantially among cases. In these scenarios, the problem of eliciting, specifying, evaluating and weighing the criteria becomes challenging, and the complexity of making a choice is correspondingly high. Given the scale of the decision making problem, the primary goals for improving decision support are the decision makers’ efficiency and effectiveness in reaching a choice on software components evaluation and selection (Becker et al, 2013).</p><p>Evaluation as a general endeavor can be characterized by the following features:</p><ol><li>Evaluation is a task, which results in one or more reported outcomes.</li><li>Evaluation is an aid for planning, and therefore the outcome is an evaluation of different possible actions.</li></ol><ul><li>Evaluation is goal oriented. The primary goal is to check results of actions or interventions, in order to improve the quality of the actions or to choose the best action alternative.</li></ul><p>Software can be evaluated with respect to different aspects, for example, functionality, reliability, usability, efficiency, maintainability, portability. In earlier times evaluation of software took place at the end of the developing phase, using experimental designs and statistical analysis, evaluation is nowadays used as a tool for information gathering within iterative design: “Explicit human-factors evaluations of early interactive systems (when they were done at all) were poorly integrated with development and therefore ineffective. They tended to be done too late for any substantial changes to the system still be feasible and, in common with other human-factors contributions to development, they were often unfavourably received. Instruments for evaluation are not primarily used for global evaluation of an accomplished product, but these instruments are applied during the development of a product. Indeed, most experts agree nowadays that the development of usable software can only be done by a systematic consideration of usability aspects within the life-cycle model. One prominent part is the evaluation of prototypes with respect to usability aspects, employing suitable evaluation techniques in order to find usability errors and weaknesses of the software at an early stage (Bandor, 2006).</p><p>Decision Supports Systems (DSS) are computer-based information systems designed in such a way that help managers to select one of the many alternative solutions to a problem. It is possible to automate some of the decision making processes in a large, computer-based DSS which is sophisticated and analyze huge amount of information fast. It helps corporate to increase market share, reduce costs, increase profitability and enhance quality. The nature of problem itself plays the main role in a process of decision making. A DSS is an interactive computer based information system with an organized collection of models, people, procedures, software, databases, telecommunication, and devices, which helps decision makers to solve unstructured or semi-structured business problems. Adopting decision support system to software evaluation guarantees accurate evaluation of the software (Abdelkader, 2006).</p><p></p></div><div><p><strong>1.2 Statement of the Problem</strong></p><p>As institutions and organizations spend huge amount on Enterprise resource planning (ERP) packages and other computer software that cost hundreds of thousands and even millions of dollars, purchasing a software solution is a high expenditure activity that consumes a significant portion of companies’ capital budgets. Selecting the right solution is an exhausting process for companies. Therefore, selecting a software package that meets the requirements needs a full examination of many conflicting factors and it is a difficult task. Most times the software bought do not meet the needs of the institution or organization despite the huge amount. To avoid the problem of software ineffectiveness, this has led researchers to investigate better ways of evaluating and selecting software packages.</p><p><strong>1.3 Aim and Objectives of the Study</strong></p><p>The aim of the study is to develop an improved decision support system for software evaluation that will help organizations to determine the effectiveness of a software product based on its features and capabilities. The following are the objectives of the study:</p><ol><li>To design a decision support system for software evaluation using quantitative method for software evaluation and selection .</li><li>To develop a software that will assess the software features to determine their level of effectiveness?</li><li>To compare a system that will maintain record of software evaluation records</li></ol><p><strong>1.4 Scope of the Study</strong></p><p>This study covers advanced decision support system for software evaluation using weighted sum. It is limited to the capturing of the weighted sum of software features and the determination of the best software option based on the total weight of its features. Evaluation is based on three different criteria categories which are: The vendor, hardware/ software requirements and cost/benefits of the software system.</p><p><strong>1.5 Significance of the Study</strong></p><p>The significance of the study is that it will help institutions and organizations evaluate the effectiveness of a software product. The study will also serve as a useful reference material to other researchers seeking for information concerning the subject.</p><p><strong>1.6 Organization of Research</strong></p><p>This research work is organized into five chapters. Chapter one is concerned with the introduction of the research study and it presents the preliminaries, theoretical background, statement of the problem, aim and objectives of the study, significance of the study, scope of the study, organization of the research and definition of terms.</p><p>Chapter two focuses on the literature review, the contributions of other scholars on the subject matter is discussed.</p><p></p><p>Chapter three is concerned with the system analysis and design. It presents the research methodology used in the development of the system, it analyzes the present system to identify the problems and provides information on the advantages and disadvantages of the proposed system. The system design is also presented in this chapter.</p><p>Chapter four presents the system implementation and documentation, the choice of programming language, analysis of modules, choice of programming language and system requirements for implementation.</p><p>Chapter five focuses on the summary, constraints of the study, conclusion and recommendations are provided in this chapter based on the study carried out.</p><p><strong>1.7 Definition of Terms</strong></p><p><strong>Software </strong>Programs and applications that can be run on a computer system, e.g. word processing or database packages</p><p><strong>Evaluation </strong>The act of considering or examining something in order to judge its value, quality, importance, extent, or condition</p><p><strong>System:</strong> An assembly of computer hardware, software, and peripherals functioning together to solve a common problem</p><p></p></div><h3></h3><br>
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