Software reliability measurement : a survey

In complex software systems, reliability is the most important aspect of software quality, a multi-dimensional property including other factors like functionality, usability, performance, serviceability, capability, installability, maintainability, and documentation. Software reliability engineering is becoming a standard, widespread practice applicable to the different phases of the software development process. The first chapter of the survey provides an introduction to software measurement. Traditional and object-oriented software metrics are analyzed in detail, comprehensive study of some empirical work is also provided in order to validate the usefulness of the selected software metrics. An overview of software reliability is then introduced from the basic terminologies to the reasons for the need of software reliability. Following is the classification of the existing software reliability measures and measurement tools discussed in several chapters. Firstly, the procedure of software reliability measurement procedure along with a framework is addressed. Secondly, software reliability modeling is introduced in detail together with model classification schemes. Thirdly, the relationship between software reliability engineering and Software development process is outlined. Fourthly, we show a classification of current development tools with some usage information. In the final part of this survey, the research directions of software reliability engineering are explore

Exploration of Three-dimensional Morphometrics of the Hip Joint and Reconstructive Technologies

This dissertation is an exploration of three-dimensional (3D) anatomy using the hip joint as the model of study. Very few studies have taken advantage of 3D modeling to assess the features of commercially available software, or to assess the validity and reliability of 3D morphometrics. This dissertation compared three reconstructive software programs to survey user appreciation concerning how 3D anatomical reconstructive software can be utilized and then established the advantages and limitations of 3D measurements in the hip joint. Three main studies are presented: the first, a comparison of three widely available 3D reconstructive software programs, Amira, OsiriX, and Mimics. This comparison used a decision matrix to outline which software is best suited for construction of 3D anatomical models, morphometric analysis, and building 3D visualization and learning tools. Mimics was the best-suited program for construction of 3D anatomical models and morphometric analysis. For creating a learning tool the results were less clear. OsiriX was very user- friendly; however, it had limited capabilities. Conversely, although Amira had endless potential and could create complex dynamic videos it had a challenging interface. Based on the overall results of study one, Mimics was used in the second and third studies to quantify 3D surface morphology of the hip joint. The second study assessed the validity and reliability of a novel 3D measurement approach of the femoral head (n=45). Study two highlighted the advantages of modeling a convex shape and the advantages of quantifying the proximal femur in 3D. This measurement approach proved to be valid and reliable. The third study assessed the validity and reliability of a similar 3D measurement approach applied to the acetabulum (n=45). This study illustrated the limitations and challenges encountered when quantifying the complex geometry of the concave acetabulum. This measurement approach was reliable, yet the differences between the digital and cadaveric measurements were large and clinically significant. The hip joint is a complex joint that benefits from 3D visualization and quantification; however, challenges surrounding measuring the acetabulum remain

The completeness and reliability of threshold and false-discovery-rate source extraction algorithms for compact continuum sources

The process of determining the number and characteristics of sources in astronomical images is so fundamental to a large range of astronomical problems that it is perhaps surprising that no standard procedure has ever been defined that has well understood properties with a high degree of statistical rigour on completeness and reliability. There are now a large number of commonly used software tools for accomplishing this task, typically with different tools being used for images acquired using different technologies. Despite this, there have been relatively few quantitative analyses of the robustness or reliability of individual tools, or the details of the techniques they implement. We have an opportunity to redress this omission in the context of surveys planned with the Australian Square Kilometre Array Pathfinder (ASKAP). The Evolutionary Map of the Universe (EMU) survey with ASKAP, a continuum survey of the Southern Hemisphere up to declination +30 deg, aims to utilise an automated source identification and measurement approach that is demonstrably optimal, to maximise the reliability, utility and robustness of the resulting radio source catalogues. A key stage in source extraction methods is the background estimation (background level and noise level) and the choice of a threshold high enough to reject false sources yet not so high that the catalogues are significantly incomplete. In this analysis we present results from testing such algorithms as implemented in the SExtractor, Selavy (Duchamp), and sfind tools on simulated data. In particular the effects of background estimation, threshold and false-discovery rate settings are explored. For parameters that give similar completeness, the false-discovery rate method employed by sfind results in a more reliable catalogue compared to the peak threshold methods of SExtractor and Selavy.Comment: 17 pages, 13 figures, accepted by PAS

Software Measurement Activities in Small and Medium Enterprises: an Empirical Assessment

An empirical study for evaluating the proper implementation of measurement/metric programs in software companies in one area of Turkey is presented. The research questions are discussed and validated with the help of senior software managers (more than 15 years’ experience) and then used for interviewing a variety of medium and small scale software companies in Ankara. Observations show that there is a common reluctance/lack of interest in utilizing measurements/metrics despite the fact that they are well known in the industry. A side product of this research is that internationally recognized standards such as ISO and CMMI are pursued if they are a part of project/job requirements; without these requirements, introducing those standards to the companies remains as a long-term target to increase quality

Easylife: the data reduction and survey handling system for VIPERS

We present Easylife, the software environment developed within the framework of the VIPERS project for automatic data reduction and survey handling. Easylife is a comprehensive system to automatically reduce spectroscopic data, to monitor the survey advancement at all stages, to distribute data within the collaboration and to release data to the whole community. It is based on the OPTICON founded project FASE, and inherits the FASE capabilities of modularity and scalability. After describing the software architecture, the main reduction and quality control features and the main services made available, we show its performance in terms of reliability of results. We also show how it can be ported to other projects having different characteristics.Comment: pre-print, 17 pages, 4 figures, accepted for publication in Publications of the Astronomical Society of the Pacifi

User acceptance of open enterprise solution: the OSS-ERP case

Organizations implement Enterprise Resource Planning (ERP) systems with the objective of reaching operational efficiency and the incorporation to new markets through the information flow control on time of the entire organization. However, ERP systems are complex tools, mainly for the small and medium size enterprises (SMEs). For these reason, new ERP configurations have arisen for SMEs such as Open Source Software-ERP (OSS-ERP). OSS-ERP is a research topic barely analyzed by the literature. Specifically, this paper’s aim is to focus on the OSS-ERP users’ acceptance and use. The authors have developed a research model based on the Technology Acceptance Model (TAM) for testing the users’ behavior toward OSS-ERP.Las organizaciones implantan Sistemas Integrados de Gestión (ERP, acrónimo de Enterprise Resource Planning) con el objetivo de alcanzar eficiencias operativas y la incorporación a nuevos mercados mediante un mayor control del flujo de información de toda la empresa a tiempo real. Sin embargo, los sistemas ERP son herramientas complejas, principalmente la pequeña y mediana empresa (PYME). Por esta razón, están surgiendo nuevas configuraciones de sistemas ERP para PYME como los sistemas ERP de código abierto (OSS-ERP). OSS-ERP es un tópico de investigación escasamente analizado en la literatura. Concretamente, este artículo se centra en el y aceptación de los usuarios a los sistemas OSS-ERP. Los autores han desarrollado un modelo de investigación basado en Metamodelo de Aceptación de la Tecnología (TAM) para testar el comportamiento de los usuarios hacia los sistemas OSS-ERP

Professional self-efficacy scale for information and computer technology teachers: validity and reliability study

This study aims at developing a valid and reliable scale to measure information and communication technology (ICT) teachers' self-efficacy related to the Turkish national framework of ICT competencies. For statistical procedures, data were respectively analyzed with exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Furthermore, test-retest procedure was carried out to confirm the time invariance of the scale. EFA results revealed that the scale's seven-factor structure accounts for 65.90 percent of total variance. CFA results produced an acceptable statistical support for model-data fit between the observed item scores and the seven-dimension scale structure (X-2/df = 1.98, RMSEA = .073, CFI = .86). The standardized regression weights between the latent and observed variables ranged from .57 to .89 and Cronbach's alpha coefficient of the scale sub-dimensions ranged from .80 to .88. Besides, the item-scale correlations varied between values of .53 and .79. As a result, the developed scale is a likert questionnaire and composed of 33 five-point items with seven sub-dimensions

A framework to evaluate the impact of ICT usage on collaborative product development performance in manufacturing firms : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Engineering at Massey University, Auckland, New Zealand

Manufacturers are increasingly adopting collaborative product development (CPD) to achieve competitive advantage through joint synergies. Information and communication technology (ICT) is the major enabler of communication, collaboration, product designing, development, knowledge and information management, project management, and market research activities involved in CPD. Most ICT implementations incur a significant cost for firms, thus a deeper understanding of the impact of ICT usage on CPD performance would be immensely useful for managing ICT resources effectively in innovation programmes. However, existing evidence for the direct relationships between ICT usage and performance dimensions are counterintuitive (negative or insignificant). Not considering the different aspects of ICT usage was identified as a key reason for the lack of strong empirical evidence. Furthermore, the impact of ICT usage on collaboration-based product development performance and indirect impact through this collaboration performance on new product performance, as well as moderating effects of project characteristics on the direct and indirect ICT impact have largely been ignored in the literature. Therefore, drawing on relational resource-based view and organizational information processing theory, this study develops and utilizes a model including multidimensional ICT usage and CPD performance measurements, and possible moderating project characteristics, for better evaluating the impact of ICT usage on CPD performance. Initially, product development professionals from manufacturing firms and knowledgeable managers from ICT vendor firms were interviewed for a preliminary qualitative evaluation of the suggested model with industry perspectives. In addition, a quantitative investigation of secondary data obtained from the PDMA’s (Product Development and Management Association) 2012 comparative performance assessment study was conducted prior to the main survey in order to assess the significance of the proposed model with a different source of data. In the final main quantitative study, data collected from 244 CPD projects via an online global survey were used to test the research hypotheses. The study contributes to the current body of knowledge by revealing a positive direct impact of ICT usage on new product performance in terms of quality, commercial success, and time performance, and collaboration performance, which also in turn increases new product performance. In addition, moderating effects of project characteristics (complexity and uncertainty) on these associations have been explored. The study implies that manufacturers need to value not only the direct project benefits of ICT use, but also the collaboration-related outcomes that significantly increase the likelihood of achieving higher performance in their present and future CPD projects. Adequate attention must be paid to individual ICT usage dimensions as well. Particularly, other than frequency of ICT use, manufacturing firms need to improve the utilization of available features and functionalities of the tools (intensity) and the ICT proficiency of R&D staff, to gain the desired results in CPD projects