An empirical investigation of software reliability indicators

University of Technology, Sydney. Faculty of Engineering and Information Technology.This thesis investigates how individuals and organisations, without technical skills, might determine the reliability of open source software given the increased use of such software. Software reliability is normally indicated by the growth and subsequent decline of defects in the software. A notable observation is that reliability growth models require a definitive stabilisation phase during which testing can reveal the growth and decline of defects as the indication of the increase in reliability of software. However, there is not necessarily a definitive stabilisation phase in the open source software development. More importantly, the presence or absence of the stabilisation phase is an attribute of a software development method and is not restricted to open source software. When software is developed without a definitive stabilisation phase, reliability growth models are not applicable because the conditions for their validity have not been achieved. Consequently, this thesis looks for alternative information based on tests to aid decision-making about software acquisition. Data was collected by conducting semi-structured interviews from 29 participants who were currently engaged in software development. The information of tests; coverage, sufficiency and rigours of tests concerns the testing that has been performed on the software product and gives expectations on how well the software product has been tested

Reliability growth of open source software using defect analysis

We examine two active and popular open source products to observe whether or not open source software has a different defect arrival rate than software developed in-house. The evaluation used two common models of reliability growth models; concave and S-shaped and this analysis shows that open source has a different profile of defect arrival. Further investigation indicated that low level design instability is a possible explanation of the different defect growth profile. © 2008 IEEE

Open Source, Agile and Reliability Measures

As open source and agile development do work in some circumstances, particularly with regard to shorter and more frequent release policy, we wonder whether the defect profile (reliability growth) found in the open-source projects so far is typical of open-source software development or of software developed iteratively and incrementally. To investigate this, we examined an open source web testing tool developed by an agile leading company. The results of this analysis indicate two findings. First, it supports the tentative findings that iteratively developed software does not exhibit a standard reliability growth in the defect modeling, and second, somewhat surprisingly that the defect density is reducing, as a sign of improving in quality yet the normal measure of software reliability are not useful

A comparison of the reliability growth of open source and in-House software

As commercial developers have established processes to assure software quality, open source software depends largely on community usage and defect reporting to achieve some level of quality. Thus, quality of open source software may vary. We examined defects reported in two active and popular open source software projects and an in-house project. The results of this analysis indicate that the reliability growth of each is quite distinct and that the defect profile of open source software appears to be a consequence of the open source software development method itself. © 2008 IEEE

Test adequacy assessment using test-defect coverage analytic model

Software testing is an essential activity in software development process that has been widely used as a means of achieving software reliability and quality. The emergence of incremental development in its various forms required a different approach to determining the readiness of the software for release. This approach needs to determine how reliable the software is likely to be based on planned tests, not defect growth and decline as typically shown in reliability growth models. A combination of information from a number of sources into an easily understood dashboard is expected to provide both qualitative and quantitative analyses of test and defect coverage properties. Hence, Test-Defect Coverage Analytic Model (TDCAM) is proposed which combines test and defect coverage information presented in a dashboard to help deciding whether there are enough tests planned. A case study has been conducted to demonstrate the usage of the proposed model. The visual representations and results gained from the case study show the benefits of TDCAM in assisting practitioners making informed test adequacy-related decisions

Cell Lineage Tracing Identifies Hormone-Regulated and Wnt-Responsive Vaginal Epithelial Stem Cells.

The intact vaginal epithelium is essential for women's reproductive health and provides protection against HIV and sexually transmitted infections. How this epithelium maintains itself remains poorly understood. Here, we used single-cell RNA sequencing (RNA-seq) to define the diverse cell populations in the vaginal epithelium. We show that vaginal epithelial cell proliferation is limited to the basal compartment without any obvious label-retaining cells. Furthermore, we developed vaginal organoids and show that the basal cells have increased organoid forming efficiency. Importantly, Axin2 marks a self-renewing subpopulation of basal cells that gives rise to differentiated cells over time. These cells are ovariectomy-resistant stem cells as they proliferate even in the absence of hormones. Upon hormone supplementation, these cells expand and reconstitute the entire vaginal epithelium. Wnt/β-catenin is essential for the proliferation and differentiation of vaginal stem cells. Together, these data define heterogeneity in vaginal epithelium and identify vaginal epithelial stem cells

Synergistic Antibacterial Effects of Metallic Nanoparticle Combinations

© The Author(s) 2019.Metallic nanoparticles have unique antimicrobial properties that make them suitable for use within medical and pharmaceutical devices to prevent the spread of infection in healthcare. The use of nanoparticles in healthcare is on the increase with silver being used in many devices. However, not all metallic nanoparticles can target and kill all disease-causing bacteria. To overcome this, a combination of several different metallic nanoparticles were used in this study to compare effects of multiple metallic nanoparticles when in combination than when used singly, as single elemental nanoparticles (SENPs), against two common hospital acquired pathogens (Staphylococcus aureus and Pseudomonas. aeruginosa). Flow cytometry LIVE/DEAD assay was used to determine rates of cell death within a bacterial population when exposed to the nanoparticles. Results were analysed using linear models to compare effectiveness of three different metallic nanoparticles, tungsten carbide (WC), silver (Ag) and copper (Cu), in combination and separately. Results show that when the nanoparticles are placed in combination (NPCs), antimicrobial effects significantly increase than when compared with SENPs (P < 0.01). This study demonstrates that certain metallic nanoparticles can be used in combination to improve the antimicrobial efficiency in destroying morphologically distinct pathogens within the healthcare and pharmaceutical industry.Peer reviewe

Non-small-cell lung cancer resectability: diagnostic value of PET/MR.

Purpose To assess the diagnostic performance of PET/MR in patients with non-small-cell lung cancer. Methods Fifty consecutive consenting patients who underwent routine 18F-FDG PET/CT for potentially radically treatable lung cancer following a staging CT scan were recruited for PET/MR imaging on the same day. Two experienced readers, unaware of the results with the other modalities, interpreted the PET/MR images independently. Discordances were resolved in consensus. PET/MR TNM staging was compared to surgical staging from thoracotomy as the reference standard in 33 patients. In the remaining 17 nonsurgical patients, TNM was determined based on histology from biopsy, imaging results (CT and PET/CT) and follow-up. ROC curve analysis was used to assess accuracy, sensitivity and specificity of the PET/MR in assessing the surgical resectability of primary tumour. The kappa statistic was used to assess interobserver agreement in the PET/MR TNM staging. Two different readers, without knowledge of the PET/MR findings, subsequently separately reviewed the PET/CT images for TNM staging. The generalized kappa statistic was used to determine intermodality agreement between PET/CT and PET/MR for TNM staging. Results ROC curve analysis showed that PET/MR had a specificity of 92.3 % and a sensitivity of 97.3 % in the determination of resectability with an AUC of 0.95. Interobserver agreement in PET/MR reading ranged from substantial to perfect between the two readers (Cohen’s kappa 0.646 – 1) for T stage, N stage and M stage. Intermodality agreement between PET/CT and PET/MR ranged from substantial to almost perfect for T stage, N stage and M stage (Cohen’s kappa 0.627 – 0.823). Conclusion In lung cancer patients PET/MR appears to be a robust technique for preoperative staging

Evidence-informed health policy: are we beginning to get there at last

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited