Design and implementation of an intelligent assistant system for software assessment
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 Assessment
- 2.2Evolution of Software Assessment Tools
- 2.3Types of Software Assessment Methods
- 2.4Importance of Software Assessment
- 2.5Challenges in Software Assessment
- 2.6Best Practices in Software Assessment
- 2.7Current Trends in Software Assessment
- 2.8Comparison of Software Assessment Tools
- 2.9Case Studies on Software Assessment
- 2.10Future Directions in Software Assessment
Chapter THREE
SYSTEM DESIGN AND IMPLEMENTATION
- 3.1Research Methodology Overview
- 3.2Research Design
- 3.3Data Collection Methods
- 3.4Sampling Techniques
- 3.5Data Analysis Methods
- 3.6Research Validity and Reliability
- 3.7Ethical Considerations
- 3.8Research Limitations
Chapter FOUR
SYSTEM TESTING AND EVALUATION
- 4.1Data Analysis and Interpretation
- 4.2Software Assessment Tool Development
- 4.3User Testing and Feedback
- 4.4Comparative Analysis of Tools
- 4.5Evaluation of Tool Effectiveness
- 4.6Discussion on Tool Implementation
- 4.7Addressing Tool Limitations
- 4.8Recommendations for Tool Improvement
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion
- 5.3Contributions of the Study
- 5.4Implications for Future Research
- 5.5Recommendations for Practice
- 5.6Conclusion and Reflections
Thesis Abstract
Abstract
Software assessment is a crucial process in software development that involves evaluating the quality, performance, and functionality of software applications. Traditional methods of software assessment are often time-consuming and rely heavily on manual intervention, leading to inefficiencies and potential errors. In recent years, there has been a growing interest in developing intelligent assistant systems to automate and enhance the software assessment process. This research project focuses on the design and implementation of an intelligent assistant system for software assessment. The system leverages artificial intelligence (AI) techniques such as machine learning and natural language processing to analyze software artifacts and provide valuable insights to developers. By automating the assessment process, the intelligent assistant system aims to improve the efficiency and accuracy of software evaluation. The key components of the intelligent assistant system include a data collection module, a machine learning model for analysis, and a user interface for presenting assessment results. The data collection module gathers software artifacts such as code repositories, bug reports, and documentation from various sources. The machine learning model processes these artifacts to identify patterns, trends, and potential issues in the software. One of the primary advantages of the intelligent assistant system is its ability to adapt and learn from past assessments. By continuously analyzing software artifacts and assessment results, the system can improve its accuracy and provide more targeted recommendations to developers. This iterative learning process ensures that the system evolves over time and becomes more effective in assisting with software assessment tasks. The user interface of the intelligent assistant system is designed to be user-friendly and intuitive, allowing developers to easily access assessment results and recommendations. The system provides detailed insights into the quality of the software, highlighting areas that may require attention or improvement. By presenting information in a clear and concise manner, the system enables developers to make informed decisions and prioritize their efforts effectively. Overall, the design and implementation of an intelligent assistant system for software assessment have the potential to revolutionize the way software evaluation is conducted. By automating repetitive tasks, improving accuracy, and providing valuable insights, the system can help developers deliver higher-quality software products in a more efficient manner.
Thesis Overview
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</p><div><p><strong>INTRODUCTION</strong></p><p><strong>1.0 Introduction</strong></p><p>While software projects have become large industrial production processes, it has been noticed that process assessment can be a strong and effective driver for process improvement. Based on this, acquirers of large, critical software-intensive systems have impeded for the use of international standard for process assessment. High-quality software is tightly connected to the process used to produce the software. To build high-quality software, organizations have to improve their production processes continuously. It is not required that an assessment instrument should take any particular form or format. It can be, for example, a paper-based instrument containing forms, questionnaires or checklists, or it can be, for example, a computer-based instrument such as a spreadsheet, a data base system or an integrated CASE tool. Regardless of the form of the assessment instrument, its main objective is to help an assessor to perform an assessment in a consistent and repeatable manner, reducing assessor subjectivity and ensuring the validity, usability and comparability of the assessment results.</p><p>To reach this goal, an assessment instrument should be made according to the instructions defined. The ultimate goal of software engineering is to find methods for developing high quality software products at reasonable cost. As computers are being used in more and more critical areas of the industry, the quality of software becomes a key factor of business success and human safety. Two approaches can be followed to ensure software quality. One is focused on a direct specification and evaluation of the quality of software product, while the other is focused on assuring high quality of the process by which the product is developed.</p><p></p><p>The software industry is currently entering a period of maturity, in which particular informal approaches are specified more precisely and are supported by the appropriate standards. Quality characteristics of software products are defined in ISO/IEC (International Organization for Standardization/International Electrotechnical Commission) 9126 [1]. For each characteristic, a set of attributes which can be measured is determined. Such a definition helps in evaluating the quality of software, but gives no guidance on how to construct a high quality software product. The requirements for a quality management system are defined in ISO 9001 [2]. All the requirements are intended for application within a software process in order to enhance the customer satisfaction, which is considered the primary measure of the software product quality</p><p></p></div><div><p><strong>1.1 Statement of the Problem</strong></p><p>The following problems were identified:</p><ol><li>Lack of secure and reliable commercial software.</li><li>Software vulnerabilities can compromise customer data, disrupt business services, and jeopardize trust. Therefore, customers require that software be developed in a way that minimizes the number of vulnerabilities, and customers expect suppliers to have appropriate update mechanisms for use when vulnerabilities emerge.</li></ol><ul><li>Software failures contribute to marketplace confusion and the erosion of trust between supplier and customer.</li></ul><p>To gain the necessary confidence in acquired software, customers need a method for assessing the security of the software, including the impact the software may have on the organization’s risk posture. A process-based assessment of a supplier’s software assurance practices can deliver this confidence, empowering customers to better manage risk.</p><p><strong>1.2 Aim and Objectives of the Study</strong></p><p>The aim of the study is to develop an intelligent assistant system for software assessment. The following are the specific objectives of the study:</p><ol><li>To develop an intelligent system that can be used to assess software quality.</li><li>To design a system that will be able to store vital information of software assessments performed.</li></ol><ul><li>To develop a system that will enable the user to determine software effectiveness.</li></ul><p><strong>1.3 Scope of the Study</strong></p><p>This study is focused on design and Implementation of an intelligent assistant system for software assessment a case study of Akwa Ibom state polytechnic digital center, Ikot Osurua. 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. Assessment is based on three different criteria categories which are: The vendor, hardware/ software requirements and cost/benefits of the software system.</p><p><strong>1.4 Significance of the Study</strong></p><p>The study is significant in the following ways:</p><ol><li>it will help institutions and organizations assess the performance level of a software product.</li><li>It will help organizations to select the best performing software based on their standard for assessment.</li></ol><ul><li>It will aid in the easy management of software assessment information.</li></ul><ol><li>The study will also serve as a useful reference material to other researchers seeking for information concerning the subject.</li></ol><ul><li><strong>Organization of the Research</strong></li></ul><p>This research work is organized into five chapters.</p><p>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 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, conclusion and recommendations are provided in this chapter based on the study carried out.</p><p><strong>1.6 Definition of Terms</strong></p><p><strong>Intelligent</strong>: Characterized by thoughtful interaction</p><p><strong>Assessment</strong>: To carry out an evaluation to determine the value of something or the level of performance.</p><p><strong>Performance</strong>: The amount of useful work performed by a system in relation to the time and resources used</p></div>
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