Design and implementation of an intelligent assistant system for software assessment

Project Abstract

The design and implementation of an intelligent assistant system for software assessment is a crucial step towards enhancing the efficiency and accuracy of evaluating software projects. This research project focuses on developing a system that utilizes artificial intelligence techniques to assist software developers, project managers, and quality assurance teams in assessing the quality, performance, and security aspects of software applications. The intelligent assistant system aims to automate the assessment process, provide valuable insights, identify potential issues, and offer recommendations for improvement. The system incorporates various AI technologies such as machine learning algorithms, natural language processing, and data mining techniques to analyze software artifacts, code repositories, and user feedback. By leveraging these technologies, the system can understand the context of the software being assessed, detect patterns, and predict potential risks or vulnerabilities. Additionally, the system can learn from past assessment results and continuously improve its accuracy and performance over time. Key features of the intelligent assistant system include automated code quality analysis, security vulnerability detection, performance profiling, and compliance checking. The system can generate detailed reports highlighting areas of concern, best practices violations, and suggestions for optimizing software performance. Moreover, the system can assist in tracking project milestones, monitoring progress, and identifying potential bottlenecks that may impact the overall software development lifecycle. The user interface of the intelligent assistant system is designed to be user-friendly, intuitive, and customizable to meet the specific needs of different software development teams. Users can interact with the system through a web-based interface, command-line interface, or integrated development environment plugin. The system provides real-time feedback, alerts, and notifications to keep users informed about the status of their projects and any critical issues that require immediate attention. Overall, the intelligent assistant system aims to streamline the software assessment process, improve decision-making, and enhance the overall quality of software projects. By combining the power of artificial intelligence with software assessment practices, the system offers a valuable tool for software development teams to increase productivity, reduce risks, and deliver high-quality software products to end-users.

Project Overview

<p> </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> <br><p></p>