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Design and implementation of an intelligent assistant system for software assessment

 

Table Of Contents


Chapter ONE

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Research
1.9 Definition of Terms

Chapter TWO

2.1 Overview of Intelligent Assistant Systems
2.2 Evolution of Intelligent Assistant Systems
2.3 Types of Intelligent Assistant Systems
2.4 Applications of Intelligent Assistant Systems
2.5 Technologies Used in Intelligent Assistant Systems
2.6 Challenges in Developing Intelligent Assistant Systems
2.7 User Experience Design in Intelligent Assistant Systems
2.8 Evaluation of Intelligent Assistant Systems
2.9 Future Trends in Intelligent Assistant Systems
2.10 Ethical and Privacy Considerations in Intelligent Assistant Systems

Chapter THREE

3.1 Research Methodology Overview
3.2 Research Design
3.3 Data Collection Methods
3.4 Sampling Techniques
3.5 Data Analysis Procedures
3.6 Validity and Reliability of Data
3.7 Ethical Considerations
3.8 Limitations of Research Methodology

Chapter FOUR

4.1 Data Analysis and Interpretation
4.2 Findings on Intelligent Assistant System Development
4.3 Comparison with Existing Systems
4.4 User Feedback and Satisfaction
4.5 Performance Evaluation Metrics
4.6 Recommendations for Improvement
4.7 Implications of Findings
4.8 Future Research Directions

Chapter FIVE

5.1 Conclusion and Summary of Research
5.2 Summary of Key Findings
5.3 Achievements of Study Objectives
5.4 Contributions to the Field
5.5 Practical Implications
5.6 Recommendations for Future Work
5.7 Concluding Remarks

Thesis Abstract

Abstract
The increasing demand for software applications across various industries has underscored the need for effective software assessment techniques to ensure quality and reliability. In this research project, we propose the design and implementation of an intelligent assistant system for software assessment. The system aims to automate and enhance the process of evaluating software quality, performance, and security. The intelligent assistant system will utilize advanced technologies such as machine learning, natural language processing, and data analytics to analyze software artifacts and provide valuable insights to developers and testers. By leveraging these technologies, the system will be able to identify potential issues, recommend improvements, and assist in making informed decisions during the software assessment process. One key aspect of the intelligent assistant system is its ability to adapt and learn from past assessments. By incorporating feedback mechanisms and continuous learning algorithms, the system can improve its accuracy and effectiveness over time. This adaptive capability will enable the system to stay up-to-date with the latest trends and best practices in software assessment. The proposed system will also focus on streamlining the assessment workflow by automating repetitive tasks and providing intelligent suggestions to users. This will help reduce the time and effort required for software assessment, allowing developers and testers to focus on more critical aspects of the software development lifecycle. Furthermore, the intelligent assistant system will offer interactive features such as real-time feedback, visualizations, and customizable dashboards to enhance user experience and facilitate decision-making. These features will enable users to quickly grasp the software assessment results and take appropriate actions to address any identified issues. Overall, the design and implementation of an intelligent assistant system for software assessment have the potential to revolutionize the way software quality is evaluated and improved. By combining cutting-edge technologies with user-friendly interfaces, the system aims to empower developers and testers with the tools and insights needed to deliver high-quality software products efficiently. In conclusion, this research project represents a significant step towards enhancing software assessment practices through the integration of intelligent assistant systems. The proposed system has the potential to drive innovation in software development processes and ultimately contribute to the delivery of more reliable and secure software applications.

Thesis Overview

INTRODUCTION

1.0 Introduction

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.

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.

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

1.1 Statement of the Problem

The following problems were identified:

  1. Lack of secure and reliable commercial software.
  2. 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.
  • Software failures contribute to marketplace confusion and the erosion of trust between supplier and customer.

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.

1.2 Aim and Objectives of the Study

The aim of the study is to develop an intelligent assistant system for software assessment. The following are the specific objectives of the study:

  1. To develop an intelligent system that can be used to assess software quality.
  2. To design a system that will be able to store vital information of software assessments performed.
  • To develop a system that will enable the user to determine software effectiveness.

1.3 Scope of the Study

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.

1.4 Significance of the Study

The study is significant in the following ways:

  1. it will help institutions and organizations assess the performance level of a software product.
  2. It will help organizations to select the best performing software based on their standard for assessment.
  • It will aid in the easy management of software assessment information.
  1. The study will also serve as a useful reference material to other researchers seeking for information concerning the subject.
  • Organization of the Research

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.

Chapter two focuses on the literature review, the contributions of other scholars on the subject matter is discussed.

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.

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.

Chapter five focuses on the summary, conclusion and recommendations are provided in this chapter based on the study carried out.

1.6 Definition of Terms

Intelligent: Characterized by thoughtful interaction

Assessment: To carry out an evaluation to determine the value of something or the level of performance.

Performance: The amount of useful work performed by a system in relation to the time and resources used



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