Design and implementation of an intelligent assistant system for software assessment

Project Abstract

The project focuses on the design and implementation of an intelligent assistant system for software assessment. Software assessment is a critical task in software development that involves evaluating the quality, performance, and functionality of software systems. Traditional approaches to software assessment often rely on manual inspection and testing, which can be time-consuming and error-prone. An intelligent assistant system can automate and streamline the software assessment process by leveraging artificial intelligence and machine learning techniques. The intelligent assistant system is designed to assist software developers and testers in evaluating software quality and identifying potential issues. The system utilizes natural language processing capabilities to interpret software assessment requirements and provide automated feedback on software artifacts. By analyzing code snippets, documentation, and test results, the intelligent assistant can offer recommendations for improving software quality and performance. The implementation of the intelligent assistant system involves developing a user-friendly interface that allows users to interact with the system easily. The system integrates with existing software development tools and platforms to provide seamless support for software assessment tasks. Machine learning algorithms are employed to train the system on a diverse set of software assessment data, enabling it to make accurate predictions and suggestions. The intelligent assistant system incorporates a feedback loop mechanism that allows users to provide input on the system's recommendations. This feedback is used to continuously improve the system's performance and enhance its ability to assist users in software assessment tasks. Additionally, the system is designed to adapt to different software development environments and project requirements, making it versatile and customizable for various software assessment scenarios. Overall, the design and implementation of an intelligent assistant system for software assessment aim to enhance the efficiency and effectiveness of software assessment processes. By automating routine tasks and providing intelligent insights, the system can help software developers and testers identify and address software issues more effectively. The intelligent assistant system serves as a valuable tool for improving software quality, reducing development time, and enhancing overall software development practices.

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><p></p></div><h3></h3><br> <br><p></p>