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检索条件"机构=Heuristic Programming Project Computer Science Department"
25 条 记 录,以下是1-10 订阅
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A case study of software testers
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AI EDAM 2009年 第1期3卷 35-51页
作者: Robin Lampert David Hamilton Elliot Soloway Yale University Department of Computer Science Cognition and Programming Project P. O. Box 2158 Yale Station New Haven CT 06520 IBM Systems Integration Division 3700 Bay Area Blvd. Houston TX 77058 U.S.A.
In an effort to learn more about how testers test code, we observed several testers while they designed tests to check a change which had been made to code. Using a case study methodology, we gathered empirical data f...
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TLM MODELING USING AN SIMD computer
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INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 1993年 第4期6卷 299-304页
作者: TAN, CC FUSCO, VF The Queen's University of Belfast Department of Electrical & Electronic Engineering Ashby Building Stranmillis Road Belfast BT9 5AH U.K. Chun Chia Tan obtained a first-class honours degree from The Queen's University of Belfast. He was awarded an IEE prize for best final-year project. His current research interests include the modelling of electromagnetic fields using parallel processing techniques. At present Mr Tan is working as an electrical engineer in Malaysia. Vincent F. Fusco was educated at The Queen's University of Belfast where he obtained the degree of Ph.D. He has worked as a research engineer on short-range radar and radio telementry systems. Currently he is a Reader in Microwave Commnications in the School of Electrical Engineering and Computer Science The Queen's Univeristy of Belfast. His current research interests include non-linear microwave circuit simulation and concurrent programming techniques for electromagnetic field problems. He has acted as consultant to a number of major companies and has published numerous research papers in these areas. He is author of the bookMicrowave Circuits Analysis and Computer Aided Design(Prentice Hall 1987). Dr Fusco is a Chartered Electrical Engineer and a Member of the Institute of Electrical Engineers.
A major limitation of the transmission-line matrix (TLM) method used to solve Maxwell's equations is the long computation time required. The TLM scattering calculations involved can, however, be viewed as parallel... 详细信息
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ROLE OF SIMULATION IN RAPID PROTOTYPING FOR CONCEPT DEVELOPMENT
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NAVAL ENGINEERS JOURNAL 1991年 第3期103卷 204-211页
作者: KING, JF BARTON, DE J. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr
A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several know... 详细信息
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Modelling human expertise in knowledge engineering: some preliminary observations
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International Journal of Man-Machine Studies 1987年 第1期26卷 81-92页
作者: Littman, David C. Cognition and Programming Project Department of Computer Science Yale University New Haven Connecticut 06520 United States
This paper reports the results of an empirical analysis of the knowledge engineering behavior of six persons with extensive experience in artificial intelligence (AI). The six persons were given the task of designing ...
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Industrial machine vision: lessons and challenges
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Optics News 1987年 第2期13卷 12-17页
作者: Steven W. Holland Robert B. Tilove STEVEN W. HOLLAND is an assistant department head in the Computer Science Dept. of General Motors Research Laboratories (GMR). He is responsible for research projects involving computer vision robotics mobile robotics process planning knowledge systems natural language advanced programming environments parallel processing and statistics. ROBERT B. TILOVE is senior staff research scientist and project leader of the machine perception project at GMR. His research interests include geometric modeling model-based programming and control of intelligent automation systems.
No abstract available.
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Alternatives to construct-based programming misconceptions  86
Alternatives to construct-based programming misconceptions
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1986 SIGCHI Conference on Human Factors in Computing Systems, CHI 1986
作者: Spohrer, James C. Soloway, Elliot Department of Computer Science Cognition and Programming Project Yale University New HavenCT06520 United States
In this paper, we investigate whether or not most novice programming bugs arise because students have misconceptions about the semantics of particular language constructs. Three high frequency bugs are examined in det... 详细信息
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An Analysis of Tutorial Reasoning About programming Bugs  5
An Analysis of Tutorial Reasoning About Programming Bugs
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5th National Conference on Artificial Intelligence, AAAI 1986
作者: Littman, David C. Pinto, Jeannine Soloway, Elliot Cognition and Programming Project Department of Computer Science Yale University New HavenCT06620 United States
A significant portion of tutorial interactions revolve around the bugs a student makes. When a tutor performs an intervention to help a student fix a programming bug, the problem of deciding which intervention to perf... 详细信息
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STEPS TO AN ADVANCED ADA programming ENVIRONMENT
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IEEE TRANSACTIONS ON SOFTWARE ENGINEERING 1985年 第3期11卷 302-310页
作者: TAYLOR, RN STANDISH, TA Programming Environment Project Department of Information and Computer Science University of California
Concepts and ideas are presented that should characterize an advanced Ada programming support environment. These concepts include: 1. conceptual simplicity, 2. tight coupling of tools, and 3. effective support of host... 详细信息
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Where the bugs are  85
Where the bugs are
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
作者: James C. Spohrer Elliot Soloway Edgar Pope Department of Computer Science Cognition and Programming Project Yale University New Haven Connecticut
In this paper we propose one explanation of why some novice programs are buggier than others. Central to our explanation is the notion of merged goals/plans in which multiple goals are achieved in a single integrated ...
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KNOWLEDGE ENGINEERING - THE APPLIED SIDE OF ARTIFICIAL-INTELLIGENCE
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ANNALS OF THE NEW YORK ACADEMY OF scienceS 1984年 第NOV期426卷 91-107页
作者: FEIGENBAUM, EA Heuristic Programming Project Computer Science Department Stanford University Stanford California 94305
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