`Automated Defect Prevention: Best Practices In Software Management' Is A Practical and Thorough Guide to Implementing and Managing Software Projects and Processes.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c72362) has announced the addition of Automated Defect Prevention: Best Practices in Software Management to their offering. This book describes an approach to software management based on establishing an infrastructure that serves as the foundation for the project. This infrastructure defines people roles, necessary technology, and interactions between people and technology. This infrastructure automates repetitive tasks, organizes project activities, tracks project status, and seamlessly collects project data to provide measures necessary for decision making. Most importantly Adv. 1. most importantly - above and beyond all other consideration; "above all, you must be independent" above all, most especially , this infrastructure sustains and facilitates the improvement of human-defined processes. The methodology described in the book, which is called Automated Defect Prevention (ADP (1) (Automatic Data Processing) Synonymous with data processing (DP), electronic data processing (EDP) and information processing. (2) (Automatic Data Processing, Inc., Roseland, NJ, www.adp. ) stands out from the current software landscape as a result of two unique features: its comprehensive approach to defect prevention, and its far-reaching emphasis on automation. ADP is a practical and thorough guide to implementing and managing software projects and processes. It is a set of best practices for software management through process improvement, which is achieved by the gradual automation of repetitive tasks supported and sustained by this flexible and adaptable infrastructure, an infrastructure that essentially forms a software production line. In defining the technology infrastructure, ADP describes necessary features rather than specific tools, thus remaining vendor neutral. Only a basic subset of features that are essential for building an effective infrastructure has been selected. Many existing commercial and non-commercial tools support these, as well as more advanced features. Appendix E contains such a list. Author Info: Dorota Huizinga, PhD, is the Associate Dean for the College of Engineering and Computer Science and Professor of Computer Science at California State University, Fullerton California State University, Fullerton, commonly known as CSUF, CSU Fullerton, or Cal State Fullerton, is a part of the California State University system. The University is located in the city of Fullerton, California, in northern Orange County. . Her publication record spans a wide range of computer science disciplines and her research was sponsored by the National Science Foundation, California State University System California State University System, coordinating agency established in 1960 by the merger of individual California state colleges, now consisting of 23 campuses. , and private industry. Adam Kolawa, PhD, is the cofounder co·found tr.v. co·found·ed, co·found·ing, co·founds To establish or found in concert with another or others. co·found and CEO (1) (Chief Executive Officer) The highest individual in command of an organization. Typically the president of the company, the CEO reports to the Chairman of the Board. of Parasoft, a leading provider of Automated Error Prevention software solutions. Dr. Kolawa is a coauthor co·au·thor or co-au·thor n. A collaborating or joint author. tr.v. co·au·thored, co·au·thor·ing, co·au·thors To be a collaborating or joint author of: "He and a colleague . . . of Bulletproofing Web Applications, has contributed to or written more than 100 commentary pieces and technical papers, and has authored numerous scientific papers. Content Outline: Preface. Features and Organization. Practice Descriptions. Intended audience. Acknowledgements. Permissions. Disclaimer. 1. The Case for Automated Defect Prevention. 2. Principles of Automated Defect Prevention. 3. Initial Planning and Infrastructure. 4. Requirements Specification and Management. 5. Extended Planning and Infrastructure. 6. Architectural and Detailed Design. 7. Construction. 8. Testing and Defect Prevention. 9. Trend Analysis and Deployment. 10. Managing External Factors. 11. Case Studies: Automation as an Agent of Change. Appendix A: A Brief Survey of Modern Software Development Process Models. Appendix B: Mars Polar Lander The Mars Polar Lander was part of the NASA Mars Surveyor '98 program, which consisted of two spacecraft launched separately, the Mars Climate Orbiter (formerly the Mars Surveyor '98 Orbiter) and the Mars Polar Lander (formerly the Mars Surveyor '98 Lander). (MPL 1. (language) MPL - An early possible name for PL/I. [Sammet 1969, p.542]. 2. MPL - MasPar data-parallel version of C. See also ampl. Compiler version 3.1. 3. MPL - Motorola Programming Language. ), Loss and Lessons. Appendix C: Service-Oriented Architecture See SOA. : Example of an Implementation with ADP Best Practices. Appendix D: AJAX Best Practice: Continuous Testing. Appendix E: Software Engineering Tools. Glossary. Index. For more information visit http://www.researchandmarkets.com/reports/c72362 |
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