Support system for software evaluation
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 Software Evaluation
- 2.2Evolution of Software Evaluation
- 2.3Theoretical Frameworks in Software Evaluation
- 2.4Methods and Models in Software Evaluation
- 2.5Importance of Software Evaluation
- 2.6Challenges in Software Evaluation
- 2.7Best Practices in Software Evaluation
- 2.8Emerging Trends in Software Evaluation
- 2.9Case Studies in Software Evaluation
- 2.10Future Directions in Software Evaluation
Chapter THREE
SYSTEM DESIGN AND IMPLEMENTATION
- 3.1Research Design
- 3.2Sampling Techniques
- 3.3Data Collection Methods
- 3.4Data Analysis Procedures
- 3.5Research Ethics
- 3.6Research Validity and Reliability
- 3.7Instrumentation
- 3.8Limitations of the Methodology
Chapter FOUR
SYSTEM TESTING AND EVALUATION
- 4.1Overview of Findings
- 4.2Analysis of Data
- 4.3Comparison with Existing Literature
- 4.4Interpretation of Results
- 4.5Implications of Findings
- 4.6Recommendations for Practice
- 4.7Recommendations for Future Research
- 4.8Conclusion
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Concluding Remarks
- 5.3Contributions to the Field
- 5.4Practical Implications
- 5.5Suggestions for Further Study
Project Abstract
Software evaluation is a crucial process in determining the effectiveness, quality, and suitability of software applications for specific needs. However, evaluating software can be complex and time-consuming, requiring expertise and resources. To address this challenge, a support system for software evaluation has been developed to assist users in the evaluation process. The support system integrates various tools and techniques to streamline the evaluation process and provide users with comprehensive insights into the software's performance. It includes features such as automated testing, performance monitoring, and user feedback analysis to gather data from multiple sources and evaluate software comprehensively. Moreover, the support system incorporates machine learning algorithms to analyze data and generate actionable recommendations for improving software performance. By leveraging machine learning, the system can identify patterns, trends, and issues in software evaluation data, enabling users to make informed decisions and optimize software performance. Furthermore, the support system is designed to be user-friendly and accessible, with intuitive interfaces and interactive dashboards that allow users to visualize evaluation results and track progress easily. This helps users navigate the evaluation process efficiently and make data-driven decisions to enhance software quality and performance. In addition, the support system for software evaluation is customizable and scalable, allowing users to tailor the evaluation process to their specific requirements and scale up evaluation activities as needed. It can be adapted to different types of software applications and evaluation criteria, making it a versatile tool for organizations of all sizes and industries. Overall, the support system for software evaluation offers a comprehensive solution to streamline and enhance the software evaluation process. By integrating tools, techniques, and machine learning capabilities, the system provides users with valuable insights and recommendations to improve software quality and performance effectively. With its user-friendly interface and customizable features, the support system empowers users to make informed decisions and drive continuous improvement in software development and evaluation processes.
Project Overview
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</p><div><p><strong>INTRODUCTION</strong></p><p><strong>1.0 Introduction</strong></p><p>This chapter introduces the decision support system for software evaluation. It is the first chapter in this research work and is specifically focused on the theoretical background as well as the statement of the problem, aim and objectives of the study, significance of the study, scope of the study, organization of the research and finally the definition of terms. This will bring clarity in regards to the general concept of this research project.</p><p><strong>1.1 Theoretical Background</strong></p><p>Making decisions concerning complex systems (e.g., the management of organizational operations, industrial processes, or software evaluation) often strains our cognitive capabilities. Even though individual interactions among a system’s variables may be well understood, predicting how the system will react to an external manipulation such as a policy decision is often difficult. Many variables are involved in complex and often subtle interdependencies and predicting the total outcome may be daunting. There is a substantial amount of empirical evidence that human intuitive judgment and decision making can be far from optimal, and it deteriorates even further with complexity and stress. Because in many situations the quality of decisions is important, aiding the deficiencies of human judgment and decision making has been a major focus of science throughout history. Applying decision support systems to software evaluation therefore is a very important research area.</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 [3].</p><p>Evaluation is dependent on the current knowledge of science and the methodological standards. Evaluation as an aid for software development has been applied since the last decade, when the comprehension of the role of evaluation within Human-Computer Interaction had changed. The activities “Task analysis”, “Requirement specification”, “Conceptual and formal design”, “Prototyping”, “Implementation” are each supplemented by an activity “Evaluation” which helps to decide progression to the next step. 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. [1].</p><p>The technology used is Microsoft Access 2003 and Visual Basic 6.0. The source code below can be used to save software valuation record to database in Visual Basic 6.0</p><p>Private Sub Command1_Click()</p><p>Adodc3.Recordset.Update</p><p>MsgBox “SAVED”</p><p>End Sub</p><p></p></div><div><p><strong>1.2 Statement of 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. The following are the problems faced:</p><ul><li>Selecting the right solution is an exhausting process for companies.</li><li>Therefore, selecting a software package that meets the requirements needs a full examination of many conflicting factors and it is a difficult task.</li><li>Most times the software bought do not meet the needs of the institution or organization despite the huge amount.</li></ul><p>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 a decision support system for software evaluation. The following are the objectives of the study:</p><ul><li>To design and implement a decision support system for software evaluation.</li><li>To develop a system that will assess the software features to determine their level of effectiveness?</li><li>To develop a system that will maintain record of software evaluation records</li></ul><p><strong>1.4 Significance of the Study</strong></p><p>The significance of the study are:</p><ul><li>It will enable software users and developers evaluate the effectiveness of a software product.</li><li>It utilizes a simple approach for evaluation.</li><li>The study will also serve as a useful reference material to other researchers seeking for information concerning the subject.</li></ul><p><strong>1.5 Scope of the Study</strong></p><p>This study covers decision support system for software evaluation. It is limited to the capturing of the weighted mean of software features and the determination of the best software option based on the total weight of its features.</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>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></div>
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