基于质量属性的软件测试力系统分析架构

在深入研究软件测试过程和技术实践的基础上,提出了软件测试力概念,构建了软件测试力系统(STPS)体系结构。以此为基础,通过分析STPS关键需求,确立系统的质量因素,构架了基于质量属性的STPS结构模型。从而实践了构架技术与行业实际的有效结合,促进了软件构架技术在软硬件融合的系统构架中的应用,为进一步研究STPS高效的运行机理奠定了基础。     

A novel approach to interval comparison and application to software quality evaluation

Owing to increasing complexity in the real world, many attributes in decision science are uncertain. The interval data are more suitable for characterising those attributes. The interval comparison is an important research topic in this background. This paper proposes a new method for comparing two intervals based on a two-dimensional geometric interpretation. The equivalence is illustrated through a proof. Some mathematical experiments are provided to illustrate the validity. The proposed method is applied to the quality evaluation of software product. The results show that the provided method has important implications in both theoretical and practical perspectives.     

CP-6: quality and productivity measures in the 15-year life cycle of an operating system

The CP-6 operating system and its compilers, databases, communications, and end-user interfaces were designed, developed, tested, and installed at customer sites in three years from the date the project began. This paper describes the history of this project, the methodology used to produce the 4.7 million lines of code, and the metrics covering development productivity and software quality over 18 releases in the last 12 years. The rigorous methodology and standards used throughout the project, which cover the full lifecycle of design, development, and support, include a statistical database covering development manpower, lines of code produced, and error reports covering 12 years in customer installations. The project achieved software development productivity rates twice as high as those of comparable projects, and error rates half those of comparable projects for product software. The key lessons learned may be applied to other software development projects.     

Software automated testing: A solution to maximize the test plan coverage and to increase software reliability and quality in use

Software plays an increasingly important role in complex systems, especially for high-tech applications involved in important fields, such as transportation, financial management, communication, biomedical applications and so on. For these systems, performances such as efficient operation, fault tolerance, safety and security have to be guaranteed by the software structure, whose quality in use is assuming a growing importance from the industrial point of view. The basic problem is that the complexity of the task which software has to perform has often grown more quickly than hardware. In addition, unlike hardware, software cannot break or wear out, but can fail during its life cycle (dynamic defects) [1]. Software problems, essentially, have to be solved with quality assurance tools such as configuration management, testing procedures, quality data reporting systems and so on [2]. In this context, the paper proposes a new approach concerning the automated software testing as an aid to maximize the test plan coverage within the time available and also to increase software reliability and quality in use [3]. In this paper a method which combines accelerated automated tests for the study of software regression and memory overflow will be shown, in order to guarantee software with both a high quality level and a decrease of the testing time. The software will be tested by using test sequences reproducing the actual operating conditions and accelerated stress level. Moreover the research wishes to define some parameters of the software life and to show the generality of the proposed technique.