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Focuses on the agenda for the 1999 International Conference of Software Engineering in Los Angeles, California. Enhancement of the industrial presentation programs; List of participating research papers; Topics and writers for the research papers.

The Third International Conference on Data Engineering was held in Los Angeles, California on February 2 to 6, 1987. The conference was designed as an international forum for bringing together researchers, developers, managers, strategic planners and other users with an interest in the research, design and development of data engineering methodologies, strategies and systems. Its scope includes computer science, artificial intelligence, electrical engineering, and computer engineering. It featured papers from all major areas of data engineering, including database design and modeling, performance evaluation, algorithms, integrity, security, fault tolerance, query language, artificial intelligence approaches, knowledge bases, database machines, distributed databases and data engineering applications.

The Symposium on Foundations in Software Engineering is an annual conference sponsored by Association for Computing Machinery, a computer portal and dedicated to the presentation of innovative research results contributing to an engineering discipline for software systems. This special section of the July 1998 issue of the journal IEEE Transactions on Software Engineering features three of the best papers from the fourth symposium, held in October 1996 in San Francisco, California. During its first half-decade, research results presented at this conference have covered engineering research topics. However, a number of distinguishing properties tend to characterize the best of the papers and have helped set the standards for high-quality software engineering research. The three papers in this special section illustrate these properties. One of the critical challenges for software engineering research is to find practical tools that help system builder restructure existing systems. Mark Moriconi was general chair for the symposium and deserves considerable credit for its success.

No abstract received. [ABSTRACT FROM AUTHOR]

In 1996, USC switched its core two-semester software engineering coursefrom a hypothetical-project, homework-and-exam course based on the Bloom taxonomyof educational objectives (knowledge, comprehension, application, analysis,synthesis, and evaluation). The revised course is a real-client team-projectcourse based on the CRESST model of learning objectives (content understanding,problem solving, collaboration, communication, and self-regulation). We usedthe CRESST cognitive demands analysis to determine the necessary student skillsrequired for software risk management and the other major project activities,and have been refining the approach over the last 5 years of experience, includingrevised versions for one-semester undergraduate and graduate project courseat Columbia. This paper summarizes our experiences in evolving the risk management aspectsof the project course. These have helped us mature more general techniquessuch as risk-driven specifications, domain-specific simplifier and complicatorlists, and the schedule as an independent variable (SAIV) process model. Thelargely positive results in terms of review of pass/fail rates, client evaluations,product adoption rates, and hiring manager feedback are summarized as well. [ABSTRACT FROM AUTHOR]

Autonomous Vehicle technology is quickly expanding its market and has found in Silicon Valley, California, a strong foothold for preliminary testing on public roads. In an effort to promote safety and transparency to consumers, the California Department of Motor Vehicles has mandated that reports of accidents involving autonomous vehicles be drafted and made available to the public. The present work shows an in-depth analysis of the accident reports filed by different manufacturers that are testing autonomous vehicles in California (testing data from September 2014 to March 2017). The data provides important information on autonomous vehicles accidents’ dynamics, related to the most frequent types of collisions and impacts, accident frequencies, and other contributing factors. The study also explores important implications related to future testing and validation of semi-autonomous vehicles, tracing the investigation back to current literature as well as to the current regulatory panorama. [ABSTRACT FROM AUTHOR]

Presents information on the case study conducted by the University of Southern California Center for Software Engineering on the feasibility of a negotiation-based model to software system requirements engineering. Three primary elements of the model; Discussion on the result of the case study. INSET: Elements of the WinWin spiral model.

The article offers the author's insights on issues related to software maintenance. He cites the "Chemical Composition" program developed by consummate professional; Pat Crisman that he handled during his stay at Aerojet-General Corp. in Sacramento, California. He cites his book "Facts and Fallacies of Software Engineering" in which he reveals that maintenance is accounted for 40-80% of software expenses. He mentions a study by Don Reifer in which he notes several aspects of software maintenance such as training of staff, over-processing concerns and work allocation.