Machine Learning And Deep Learning Based Approaches For Detecting Duplicate Bug Reports With Stack Traces

Many large software systems rely on bug tracking systems to record the submitted bug reports and to track and manage bugs. Handling bug reports is known to be a challenging task, especially in software organizations with a large client base, which tend to receive a considerable large number of bug reports a day. Fortunately, not all reported bugs are new; many are similar or identical to previously reported bugs, also called duplicate bug reports. Automatic detection of duplicate bug reports is an important research topic to help reduce the time and effort spent by triaging and development teams on sorting and fixing bugs. This explains the recent increase in attention to this topic as evidenced by the number of tools and algorithms that have been proposed in academia and industry. The objective is to automatically detect duplicate bug reports as soon as they arrive into the system. To do so, existing techniques rely heavily on the nature of bug report data they operate on. This includes both structural information such as OS, product version, time and date of the crash, and stack traces, as well as unstructured information such as bug report summaries and descriptions written in natural language by end users and developers

Model Checking and Model-Based Testing : Improving Their Feasibility by Lazy Techniques, Parallelization, and Other Optimizations

This thesis focuses on the lightweight formal method of model-based testing for checking safety properties, and derives a new and more feasible approach. For liveness properties, dynamic testing is impossible, so feasibility is increased by specializing on an important class of properties, livelock freedom, and deriving a more feasible model checking algorithm for it. All mentioned improvements are substantiated by experiments

Astronautics and aeronautics, 1963 chronology on science, technology, and policy

Chronological compilation of events relating to space exploration and exploitatio

Civil Courts Coping with Covid-19

The unforeseen Covid-19 pandemic has propelled, and continues to propel, unprecedented transformations to civil proceedings and the landscape in which they operate. Courts have proven to be creative and innovative in their responses to the pandemic, and in their ability to implement digitisation of paperwork and remote hearings. This book contains a comparative study of how courts in 23 countries have coped with the pandemic, addressing selected innovations and adaptations to court proceedings, factors facilitating and impeding the digital leap, and new concerns that new technology and the pandemic engenders. The authors discuss the implications of digitisation, such as ensuring equal access to courts, novel issues concerning fair trial rights in remote proceedings, the role of alternative dispute resolution during the pandemic, and the roots of resistance to digitisation. Several contributions also address whether and how innovations during the pandemic may transform civil litigation in the future

AICPA Technical Practice Aids, as of June 1, 1993

https://egrove.olemiss.edu/aicpa_guides/2330/thumbnail.jp

AICPA Technical Practice Aids, as of June 1, 1994

https://egrove.olemiss.edu/aicpa_guides/2331/thumbnail.jp

A New Technological Era for American Agriculture

The report concludes that these technologies have the potential to provide new solutions to many agricultural problems. The challenge, however, will be whether government, industry, and the public can strike the proper balance of direction, oversight, and use to allow these technologies to flourish. Congress will be faced with many issues and choices as American agriculture moves into this new era

Newman v. Google

3rd amended complain

Specificity of the innate immune responses to different classes of non-tuberculous mycobacteria

Mycobacterium avium is the most common nontuberculous mycobacterium (NTM) species causing infectious disease. Here, we characterized a M. avium infection model in zebrafish larvae, and compared it to M. marinum infection, a model of tuberculosis. M. avium bacteria are efficiently phagocytosed and frequently induce granuloma-like structures in zebrafish larvae. Although macrophages can respond to both mycobacterial infections, their migration speed is faster in infections caused by M. marinum. Tlr2 is conservatively involved in most aspects of the defense against both mycobacterial infections. However, Tlr2 has a function in the migration speed of macrophages and neutrophils to infection sites with M. marinum that is not observed with M. avium. Using RNAseq analysis, we found a distinct transcriptome response in cytokine-cytokine receptor interaction for M. avium and M. marinum infection. In addition, we found differences in gene expression in metabolic pathways, phagosome formation, matrix remodeling, and apoptosis in response to these mycobacterial infections. In conclusion, we characterized a new M. avium infection model in zebrafish that can be further used in studying pathological mechanisms for NTM-caused diseases