Software Engineering and Software Quality Management

2014 ◽  
Vol 926-930 ◽  
pp. 2642-2645
Author(s):  
Wen Hong Liu ◽  
Chun Yan Wang ◽  
Li Ge
Keyword(s):  
Software Engineering ◽  
Quality Management ◽  
Software Quality ◽  
Software Reliability ◽  
Rapid Development ◽  
High Quality ◽  
Software Products ◽  
Software Quality Management ◽  
Management Method

As the rapid development of social informatization, software reliability and security are highly required. Only applying high-quality software products can increase work efficiency. Quality is the life of software. How to enhance the quality of software products and how to use effective quality management method is an urgent need. This paper discuss the key point of software engineering and software quality management, and this is the basis of software quality ensurance model.

scholarly journals Multicriteria Cuckoo search optimized latent Dirichlet allocation based Ruzchika indexive regression for software quality management

2021 ◽  
Vol 24 (3) ◽  
pp. 1804
Author(s):  
R. Chennappan ◽  
Vidyaa Thulasiraman
Keyword(s):  
Quality Management ◽  
Software Quality ◽  
Latent Dirichlet Allocation ◽  
Cuckoo Search ◽  
Test Cases ◽  
Optimal Test ◽  
Software Products ◽  
Software Failure ◽  
Software Quality Management ◽  
Dirichlet Allocation

The paper presents the software quality management is a highly significant one to ensure the quality and to review the reliability of software products. To improve the software quality by predicting software failures and enhancing the scalability, in this paper, we present a novel reinforced Cuckoo search optimized latent Dirichlet allocation based Ruzchika indexive regression (RCSOLDA-RIR) technique. At first, Multicriteria reinforced Cuckoo search optimization is used to perform the test case selection and find the most optimal solution while considering the multiple criteria and selecting the optimal test cases for testing the software quality. Next, the generative latent Dirichlet allocation model is applied to predict the software failure density with selected optimal test cases with minimum time. Finally, the Ruzchika indexive regression is applied for measuring the similarity between the preceding versions and the new version of software products. Based on the similarity estimation, the software failure density of the new version is also predicted. With this, software error prediction is made in a significant manner, therefore, improving the reliability of software code and service provisioning time between software versions in software systems is also minimized. An experimental assessment of the RCSOLDA-RIR technique achieves better reliability and scalability than the existing methods.

Philosophy Applying in Information Engineering

2011 ◽  
Vol 403-408 ◽  
pp. 2127-2130
Author(s):  
Chun Yan Liu ◽  
Zhu Lin Liu
Keyword(s):  
Software Engineering ◽  
Computer Software ◽  
Research Field ◽  
Convergence Theory ◽  
Software Products ◽  
Factors Influencing ◽  
Engineering Problems ◽  
Information Engineering ◽  
Field Information

With the computer software and technology continuously improving, because of various factors influencing, computer engineers are very tough on how to improve the quality of software products, this is a bottleneck problem we must solve. We think that the information engineering combining with the philosophy thought would make engineer’s ideas suddenly enlightened. We find a method and model to solve software engineering problems from the philosophical Angle, and put forward the importance of information philosophy in the study of information engineering by standing at this altitude of the information engineering. As a new field, information philosophy provides a unified, convergence theory frame, it can satisfy the requirement of further specialized. Information philosophy will become most exciting and productive philosophy research field in our era's.

Application of Machine Learning Techniques for Software Reliability Prediction (SRP)

2017 ◽  
pp. 113-142
Author(s):  
Pradeep Kumar
Keyword(s):  
Software Engineering ◽  
Software Reliability ◽  
Machine Learning Techniques ◽  
Reliability Prediction ◽  
Engineering Research ◽  
Reliability Models ◽  
Software Products ◽  
Software Reliability Prediction ◽  
Software Release ◽  
Software Engineering Research

Software reliability is a statistical measure of how well software operates with respect to its requirements. There are two related software engineering research issues about reliability requirements. The first issue is achieving the necessary reliability, i.e., choosing and employing appropriate software engineering techniques in system design and implementation. The second issue is the assessment of reliability as a method of assurance that precedes system deployment. In past few years, various software reliability models have been introduced. These models have been developed in response to the need of software engineers, system engineers and managers to quantify the concept of software reliability. This chapter on software reliability prediction using ANNs addresses three main issues: (1) analyze, manage, and improve the reliability of software products; (2) satisfy the customer needs for competitive price, on time delivery, and reliable software product; (3) determine the software release instance that is, when the software is good enough to release to the customer.

scholarly journals Accreditation of research in the thermo-climatic chamber - various aspects

2018 ◽  
Vol 183 ◽  
pp. 01009
Author(s):  
Artur Gawlik ◽  
Piotr Kucybała ◽  
Danuta Owczarek ◽  
Janusz Pobędza
Keyword(s):  
Quality Management ◽  
Environmental Conditions ◽  
Quality Management System ◽  
New Products ◽  
Heavy Duty ◽  
Climatic Chamber ◽  
High Quality ◽  
University Of Technology ◽  
The Impact

One of the important aspects in the implementation of new products for production in the open field is the assessment of the impact of environmental conditions on their operation. Typically thermo-climatic research is carried out for such project. The laboratory of Techno-climatic Research and Heavy Duty Machines of Cracow University of Technology, equipped with a large-sized thermo-climatic chamber conducts this type of research. Bearing in mind the assurance of high quality of the conducted research, the quality management system (QMS) was developed and implemented. The article describes the requirements, scope and process of obtaining a Polish Centre for Accreditation (PCA) certificate.

scholarly journals Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

2020 ◽  
Vol 10 (22) ◽  
pp. 8223
Author(s):  
Mykola Beshley ◽  
Peter Veselý ◽  
Andrii Pryslupskyi ◽  
Halyna Beshley ◽  
Marian Kyryk ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Quality Management ◽  
Service Quality ◽  
Quality Of Experience ◽  
Service Management ◽  
Customer Experience ◽  
Telecommunication Networks ◽  
Service Quality Management ◽  
Management Method

The rapid development and spread of communication technologies is now becoming a global information revolution. Customers have a need for communication services, which could be flexibly configured in accordance with their Quality of Experience (QoE) requirements. Realizing the close connection between customer experience and profitability, the service provider has been placing more and more attention on customer experience and QoE. The traditional quality of service management method based on SLA (Service Level Agreement) is not sufficient as a means to provide QoE-related contracts between service providers and customers. The current SLA method is mostly limited and focused on technical aspects of QoS (Quality of Service). Furthermore, they do not follow on the network the principles and semantic approach to the QoS specification for a communication service using QoE parameters. In this paper, we propose a customer-oriented quality of service management method for future IBN (Intent-Based Networking). It is based on a new QoE metric on a scale from 1 to 5, which allows one to take into account the commercial value of e-services for customers. Based on this approach, the network configuration and functionality of network equipment automatically changes depending on customer requirements. To implement the new method of service quality management, an algorithm for routing data packets in the network was developed, taking into account the current load of the forecast path. The algorithm of billing system functioning in conditions of customer-oriented quality management in telecommunication networks has been created. To investigate the effectiveness of the proposed method of service quality management with the traditional SLA method, we developed a simulation network model with the implementation of two approaches. By conducting a simulation, it was determined that the proposed method gives an average gain of 2–5 times for the criterion of the number of customers who require high quality of experience of the service.

Relating Software Quality Models and Process Methods to User Value

2013 ◽  
Vol 4 (2) ◽  
pp. 27-42 ◽  
Author(s):  
Mohamed A Sheriff ◽  
Elli Georgiadou
Keyword(s):  
Risk Management ◽  
Quality Management ◽  
Software Development ◽  
Software Quality ◽  
Process Models ◽  
Quality Model ◽  
Quality Models ◽  
Software Quality Management ◽  
Risk Management Process ◽  
User Value

The ultimate object of software development should be to deliver value to all stakeholders. The traditional approach to delivering this value is to ensure that the software developed is of the highest quality. A number of quality models have been proposed to specify or describe what constitutes high quality software. The ISO9126 is one such model and perhaps the most comprehensive. Similarly, there are several methods, frameworks and guidelines for ensuring software quality in either the development or use process or both. Software Quality Management and Risk Management are probably the two most popular methods employed by developers during software development and implementation to deliver quality. In this paper the authors examine whether, and to what extent, the implied value propositions of software products as portrayed by the ISO9126 quality model and the prescribed processes in Software Quality Management and Risk Management, map onto user value perceptions and experiences. An ontology of value, in the form of a value tree, is developed and used to identify and analyse the key value dimensions of the ISO9126 quality model and the Software Quality Management and Risk Management process methods. These are then mapped onto contextualised user value characterisations derived from the extant literature. Differences identified are analysed and discussed and the authors suggest approaches that could narrow the perennial gap between idealised quality product and process models and stakeholder perceptions and actualisations of software value.

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