Boosting the Software Quality of Parallel Programming Using Logical Means

Author(s):  
Mohamed A. El-Zawawy
2022 ◽  
pp. 1857-1883
Author(s):  
Ganesan Kannabiran ◽  
K. Sankaran

Successful offshoring engagements of Indian software vendors is increasingly dependent upon the quality of the projects delivered rather than cost considerations. However, delivering quality software is reliant on effective management of various organizational, technological and people aspects. This research is to identify and evaluate the determinants of quality on software projects delivered by vendors through offshoring. Data related to recently completed projects were collected through a survey of 440 project managers from Indian vendors. Based on structural equation modeling, the authors analyze the influence determinants on specific product quality attributes. It is found that, out of six determinants, technical infrastructure and process maturity have significant influence on most of the attributes of quality in offshored IS projects from India. The authors provide a set of implications for practice and directions for further research.


Author(s):  
Ganesan Kannabiran ◽  
K. Sankaran

Successful offshoring engagements of Indian software vendors is increasingly dependent upon the quality of the projects delivered rather than cost considerations. However, delivering quality software is reliant on effective management of various organizational, technological and people aspects. This research is to identify and evaluate the determinants of quality on software projects delivered by vendors through offshoring. Data related to recently completed projects were collected through a survey of 440 project managers from Indian vendors. Based on structural equation modeling, the authors analyze the influence determinants on specific product quality attributes. It is found that, out of six determinants, technical infrastructure and process maturity have significant influence on most of the attributes of quality in offshored IS projects from India. The authors provide a set of implications for practice and directions for further research.


Author(s):  
Benno Luthiger ◽  
Carola Jungwirth

This chapter explains why software users have good reasons to trust in the quality of OSS, even if they might have internalised the rule “If something has no price, it also has no value!” We present the idea that a system of incentives of both private programmers with their different motives to participate and companies paying their programmers for contributing to OSS, are responsible for the software quality—even if all programmers do not pursue a common purpose. The chapter delivers a conceptual framework from an economic perspective showing that every stakeholder can provide valuable input to the success of an open source project. Crowding out between contributors with different motivations does not necessarily exist even if companies with monetary intentions participate. Therefore, we assume OSS as an attractive forum for different interests that can seminally intertwine, while quality software is generated nearly as a by-product.


Author(s):  
Eleni Berki

Information systems development methodologies and associated CASE tools have been considered cornerstones for building quality into an information system. The construction and evaluation of methodologies are usually carried out by evaluation frameworks and metamodels, both considered as meta-methodologies. This chapter investigates and reviews representative metamodels and evaluation frameworks for assessing the capability of methodologies to contribute to high-quality outcomes. It presents a summary of their quality features, strengths, and weaknesses. The chapter ultimately leads to a comparison and discussion of the functional and formal quality properties that traditional meta-methodologies and method evaluation paradigms offer. The discussion emphasizes the limitations of methods and metamethods used to model and evaluate software quality properties, such as computability and implementability, testing, dynamic semantics capture, and people’s involvement. This analysis, along with the comparison of the philosophy, assumptions, and quality perceptions of different process methods used in information systems development, provides the basis for recommendations about the need for future research in this area.


Author(s):  
C. V. KIFOR ◽  
N. TUDOR ◽  
LAL MOHAN BARAL

A quality system for production software should be part of the quality management system of an organization and can be expressed as objectives in the form of processes, procedures, tools and responsibilities, designed and developed to fulfil the quality requirements. These usually are addressing the customers (external or internal), compliance with standards (effectiveness) waste reduction and better use of resources (efficiency) for continual improvement. Such systems are designed according to the requirements of the standards for quality management, software engineering and information security. Quality systems themselves could not provide all necessary means for driving the organization to the quality and excellence of a product. Still there are some gaps in the processes which are not covered by too generic standards and it is the organizational ability to cover the gaps in an appropriate way. The aim of this paper is to examine the effectiveness of our proposed conceptual QSPS model to reduce the gaps in the processes of an organization by enhancing the quality of production software. In order to achieve that goal, a mathematical representation of QSPS has been derived and an evaluation has been realized among different software quality methods. The reliability and validity of the QSPS has been examined through the practical application to the automotive industry considering the elements like: (i) Planning, time and cost evaluation (ii) Software requirements (management, risk, quality and security) (iii) Validation and verification of the implemented software before release (iv) Internal release of the software (v) Client release of the software (vi) Functional monitoring after release in the production and continuous improvement process (vii) Customer satisfaction. The results of mathematical simulation and practical application revealed that the proposed QSPS model showed superior phenomena compared with other known software quality methods and also expressed significant advantages, while using it on the production software. So, an effective application of QSPS would result in the smooth running of the production software to get a high quality product according to customer and standard requirements.


2014 ◽  
Vol 926-930 ◽  
pp. 2642-2645
Author(s):  
Wen Hong Liu ◽  
Chun Yan Wang ◽  
Li Ge

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.


Author(s):  
Atrin Barzegar

The success of a software product depends on several factors. Given that different organizations and institutions use software products, the need to have a quality and desirable software according to the goals and needs of the organization makes measuring the quality of software products an important issue for most organizations and institutions. To be sure of having the right software. It is necessary to use a standard quality model to examine the features and sub-features for a detailed and principled study in the quality discussion. In this study, the quality of Word software was measured. Considering the importance of software quality and to have a good and usable software in terms of quality and measuring the quality of software during the study, experts and skilled in this field were used and the impact of each factor and quality characteristics. It was applied at different levels according to their opinion to make the result of measuring the quality of Word software more accurate and closer to reality. In this research, the quality of the software product is measured based on the fuzzy inference system in ISO standard. According to the results obtained in this study, it is understood that quality is a continuous and hierarchical concept and the quality of each part of the software at any stage of production can lead to high quality products.


2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Maryono Maryono ◽  
Tri Septiyantono

This research entitled "The Subjective Quality of Sipus V3 software and its Information Output as a Support for Decision Making" was motivated by several problems happening during two years in the application of the software. Such automation software is expected to be able to support the success of library services and to produce statistical information for a decision making. The research aims to find out the quality of Sipus V3 software and its statistical information output, and the use of the output for supporting decision making. The research describes the subjective quality of Sipus V3 software, its statistical information output, and the use of the output in decision making process. The research employs a questionnaire method to collect data and its respondents are 44 librarians involving in Sipus V3 and 26 persons working at the information management department responsible for the statistic output of Sipus V3. By using a mean method for each indicator value, the result of the research shows that the high indicator score of Sipus V3 software quality as follows: usability-operability 3,75; efficiency of resources 3,75; efficiency of time behavior 3,68; usability-understandability 3,64; functionality-suitability 3,55; maintainability-stability for the rules of lending period and the number of items borrowed 3,43; reliabilityrecoverability 3,30; and maintainability-stability for holiday/closing days 3,20. In contrast, the low indicator score can be seen in the following: functionality-accuracy 2,84; and reliability-maturity 2,68. Furthermore the indicator score of Sipus V3 statistical information which is high is timeliness 3,31; conciseness 3,23; relevancy 3,15; and completeness 3,15. Whereas the low indicator score is accuracy 2,92. The use of Sipus V3 statistical information is very low, i.e. planning policy of circulation services 2,96; planning policy of collection development 2,88; library planning 2,69; and staffing for circulation staff 2,65. Keywords : library automation, software quality, information quality, decision support system


2017 ◽  
Vol 11 (2) ◽  
pp. 139
Author(s):  
Yanuar Latief

The research on the influence of the quality of software human resources information systems and user participation on user satisfaction in the Bureau of Human Resources Trisakti University. <br />The research purposes (1) Identify the effect of the quality of software human resources information system for user satisfaction as users of the system, (2) Identify the effect of user participation on user satisfaction as users of the system (3) identification of the influence of the quality of software human resource information systems and participation user together to user satisfaction as users of the system. <br />This research is descriptive and correlational research is to describe the characteristics of respondents and aims to determine the relationship between two or more variables. <br />The research was conducted at the Bureau of Human Resources University of Trisakti by respondents as many as 32 people and using correlational and regression analyzes. <br />The study found that the quality of the software (Xl) and user participation (X2) either individually or group have a strong influence and positive impact on user satisfaction (1J as the user s system. <br />From this study several conclusions can be drawn as follows: (1) there is a strong and positive relationship between software quality variables (Xl) to the satisfaction of the user m with r values of 0.584, (2) there is a strong and positive relationship between the variables user participation (X2) with user satisfaction (Y) with r value of 0.721 (3) The regression model obtained is Y = -2.125 + 0.304 software quality (Xl) + 0.397 user participation (X2), (4) regression models can state that the variable quality of the software and user participation is jointly affect user satisfaction as users of the system. It is shown from ANOVA test results were obtained Fcount of 22.642 with a significance level of F = 0.000 which is much smaller than 0.05, (5) The coefficient of determination (R Square) of 0.610 implies that, 61.0% user satisfaction can be explained by a variety of software quality and variety of user participation, while the rest is explained by other factors.


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