Software Service Quality Research Articles

PRIORITIZATION OF SERVICE QUALITY CRITERIA FOR HOTEL MANAGEMENT SYSTEMS USING ANALYTICAL HIERARCHY PROCESS

With the software developed in line with society's needs, the importance of technology is gradually increasing. With this developed software, people and institutions can achieve the most economical results by using less time and labor. In light of these developments, the importance of quality software is also increasing. This study aims to prioritize the service quality of the software used in the accommodation establishments with the Analytical Hierarchy Process (AHP) method of the most commonly used ISO / IEC TS 25011: 2017 software quality model criteria and to determine the best software criteria for users.In the research, after the evaluations regarding software service quality within the framework of ISO / IEC TS 25011: 2017 software quality model, using the AHP, the findings obtained prioritize the criteria regarding Property Management Systems (PMS) software service quality according to tourism and accommodation enterprises. According to the main criteria, the findings were found as Information Technology Service Adaptability, Tangibility, Information Technology Service Maintability, Information Technology Service Reliability, Usability, Enthusiasm, Security and Suitability. These findings will guide the companies that provide software services to tourism and accommodation enterprises to improve the quality of the services.

Performance Improvement of P2P using Location Awareness and Interest Clustering

ABSTRACT Because Peer-to-Peer (P2P) has the characteristics of providing scalable network services, related applications of P2P are one of the hot topics of network services today. However, too many P2P applications may lead to inefficient use of network resources or extremely poor application execution performance. At the same time, it may also occupy a large amount of bandwidth, causing an increase in the load of Internet Service Providers (ISPs). In order to avoid excessive network traffic burden, ISPs often use a flow control mechanism to prevent P2P from generating excessive traffic, which leads to the degradation of P2P software service quality. Since P4P (Proactive network Provider Participation for P2P) is one of the technologies used for P2P network optimization, it provides communication between ISPs and P2P service providers in a cooperative manner to reduce P2P traffic and ISP operating costs. Therefore, in order to reduce the operating costs of ISPs and the bandwidth required for P2P application services, a three-layer architecture combining location awareness with interest clustering and P4P framework is proposed in this study, which is called ICP4P (interest clusters based P4P ). Using the ICP4P proposed by this research will reduce Internet traffic and increase the robustness of the network. In addition, this study provides a candidate peer election mechanism to improve the service quality of P2P. When super peer fails, leaves or overloads, the backup super peer or cooperative peers will be enabled to maintain the stability of whole network.

Green network automatic abstraction algorithm

With the rapid development of Internet,the traditional automatic Abstraction algorithm cannot meet the needs of the green network.Different from the traditional automatic Abstraction algorithm based on statistical learning,this paper proposed a new algorithm based on clear semantics.It made use of cloud data acquisition library of green network system based on behavior analysis and Wikipedia resources as the knowledge base to establish the concept of space,it performed semantic interpretation on these words.Finally,the experimental results prove that the proposed method can cover more information with fewer sentences compared with the traditional algorithm,thus it greatly shortens the time for the system to analyze and filter inappropriate content and enhances the quality of software services.

Optimized statistical analysis of software trustworthiness attributes

Software trustworthiness has become one of the key restrictions for software service quality and the development of the software industry. However, trustworthiness attributes interlace structured and dynamical coupling relations, which causes great barriers for trustworthiness measurements of large-scale software. According to the dynamical evolutionary characteristics of software trustworthiness attributes, this paper proposes a new approach for optimizing the trustworthiness measurement in terms the kernel trustworthiness attributes, and improves a downsize-optimized statistical analysis method for software trustworthiness attributes based on their nonlinear relations. The improved method considerably simplifies the trustworthiness assessment of largescale software. Using theoretical analysis and numerical simulations, the feasibility of this method is verified using two typical examples that illustrate the realization of the trustworthiness measurement.

Primary Discussion on Data Security Management under SaaS Model

With the fast development of internet, especially the emergence of SaaS, the majority of SME (small and medium-sized enterprises) customers found that the costs of Software application are reduced and its maintenance is easier. These are definitely new challenges which the SaaS model brings to the management of data security. So we need to find out the corresponding strategies to guarantee the high quality of software service. This paper presents a solution that store the data encrypted by the client’s public Key on Server which protected the data is abused by server administrator.

Service Quality in Software-as-a-Service

Despite the need to better understand how customers of software-as-a-service SaaS solutions perceive the quality of these software services and how these perceptions influence SaaS adoption and use...

Assessing Software Service Quality and Trustworthiness at Selection Time

The integration of external software in project development is challenging and risky, notably because the execution quality of the software and the trustworthiness of the software provider may be unknown at integration time. This is a timely problem and of increasing importance with the advent of the SaaS model of service delivery. Therefore, in choosing the SaaS service to utilize, project managers must identify and evaluate the level of risk associated with each candidate. Trust is commonly assessed through reputation systems; however, existing systems rely on ratings provided by consumers. This raises numerous issues involving the subjectivity and unfairness of the service ratings. This paper describes a framework for reputation-aware software service selection and rating. A selection algorithm is devised for service recommendation, providing SaaS consumers with the best possible choices based on quality, cost, and trust. An automated rating model, based on the expectancy-disconfirmation theory from market science, is also defined to overcome feedback subjectivity issues. The proposed rating and selection models are validated through simulations, demonstrating that the system can effectively capture service behavior and recommend the best possible choices.

Measurement of software service quality for large telecommunications systems

Attention is given to software service quality measurement in the telecommunications switching environment. Environment dynamics and the composition of customer satisfaction are explained. Measurements are made at gaps in the software delivery process, and management is responsible for the success of the measurement process. It is concluded that software service quality measurement can be a strategic tool that can help increase a supplier's competitiveness.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>