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Reusing Software: Issues And Research Directions

by Hafedh Mili, Fatma Mili, Ali Mili , 1995
"... Software productivity has been steadily increasing over the last 30 years, but not enough to close the gap between the demands placed on the software industry and what the state of the practice can deliver [22,39]; nothing short of an order of magnitude increase in productivity will extricate the so ..."
Abstract - Cited by 207 (8 self) - Add to MetaCart
, and the processes deployed to produce them, leading to a wide spectrum of reuse approaches, from the building blocks (reusing products) approach on one hand, to the generative or reusable processor (reusing processes) on the other [68]. We discuss the implications of such approaches on the organization, control

Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.

by Robert J Vallerand , Michelle S Fbrtier , Frederic Guay - Journal of Personality and Social Psychology, , 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
Abstract - Cited by 183 (19 self) - Add to MetaCart
, especially as pertains to their antecedents and consequences. Finally, such a model, if proven valid, should provide a better understanding of the process involved in dropping out of high school, thereby leading to potential insights concerning future interventions with this population. Below, we present

Integration analysis of product decompositions

by Thomas U. Pimmler - ASME Conference on Design Theory and Methodology. Minneapolis, MN , 1994
"... This paper describes a methodology for the analysis of product design decompositions. The technique is useful for developing an understanding of the "system engineering " needs which arise because of complex interactions between components of a design. This information can be used to defin ..."
Abstract - Cited by 145 (4 self) - Add to MetaCart
This paper describes a methodology for the analysis of product design decompositions. The technique is useful for developing an understanding of the "system engineering " needs which arise because of complex interactions between components of a design. This information can be used

Methodology

by unknown authors
"... In first approximation, large scale processes will force smaller scale ones down to local scale impacts. Figure 2 presents a diagram of models interaction in the downscaling processes from Global Circulation Models (GCM) to local EcoHydrological Model (EHM), with the intermediate steps between RES a ..."
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In first approximation, large scale processes will force smaller scale ones down to local scale impacts. Figure 2 presents a diagram of models interaction in the downscaling processes from Global Circulation Models (GCM) to local EcoHydrological Model (EHM), with the intermediate steps between RES

QUANTITATIVE BENCHMARKING OF PROJECT MANAGEMENT (PM) PROCESSES

by Young-hoon Kwak, C. William, Ibbs M. Asce
"... This study, sponsored by the Project Management Institute (PMI), examines current PM levels and practices in various companies and industries. First, this research develops a five level PM Process Maturity Model to better understand levels of PM sophistication. Second, a PM process maturity benchmar ..."
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This study, sponsored by the Project Management Institute (PMI), examines current PM levels and practices in various companies and industries. First, this research develops a five level PM Process Maturity Model to better understand levels of PM sophistication. Second, a PM process maturity

Symbolic Methodology for Numeric Data Mining

by Boris Kovalerchuka, Evgenii Vityaevb
"... Abstract. Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectiveness in robotics, drug design, and other areas. Neural networks and decision tree methods have serious limitatio ..."
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data mining methodology and develops it further for numeric data such as financial and spatial data. This includes (1) comparing the attribute-value representation with the relational repre-sentation, (2) defining a new concept of joint relational representations, (3) a process of their use

CRISP-DM: Towards a standard process model for data mining

by Rüdiger Wirth - Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining , 2000
"... The CRISP-DM (CRoss Industry Standard Process for Data Mining) project proposed a comprehensive process model for carrying out data mining projects. The process model is independent of both the industry sector and the technology used. In this paper we argue in favor of a standard process model for d ..."
Abstract - Cited by 36 (6 self) - Add to MetaCart
for data mining and report some experiences with the CRISP-DM process model in practice. We applied and tested the CRISP-DM methodology in a response modeling application project. The final goal of the project was to specify a process which can be reliably and efficiently repeated by different people

Process Data Mining for Parameter Estimation With the DYNIA Method

by Arnt Ove Fordal, Supervisor Morten Hovd, Co-supervisor Fredrik Dessen, Siemens As
"... In existing oil and gas production systems one is often reluctant to introduce modifications to the control system. The reason is that this normally means that the production system has to be taken out of operational order to perform specifically designed experiments to identify the dynamics of the ..."
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studied in an earlier project. This master thesis will further investigate the method. Tasks: 1) Account for earlier work done on the subject. 2) Review the DYNIA methodology in the context of data mining on process data. 3) Implement and test the DYNIA methodology. Document the implementation. 4

Briefings Methodological and practical aspects of data mining

by A. Feeldersa, H. Danielsa, M. Holsheimerc , 1998
"... We describe the different stages in the data mining process and discuss some pitfalls and guidelines to circumvent them. Despite the predominant attention on analysis, data selection and pre-processing are the most time-consuming activities, and have a substantial influence on ultimate success. Succ ..."
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We describe the different stages in the data mining process and discuss some pitfalls and guidelines to circumvent them. Despite the predominant attention on analysis, data selection and pre-processing are the most time-consuming activities, and have a substantial influence on ultimate success

Componentware - Methodology and Process

by Klaus Bergner, Andreas Rausch, Marc Sihling, Alexander Vilbig, Er Vilbig - In CBSE ’99 Proceedings of the International Workshop on Component-Based Software Engineering. IEEE , 1999
"... This paper originates from the research project A1 -- Methods for Component-Based Software Engineering, a part of Bayerischer Forschungsverbund Software-Engineering (FORSOFT), supported by Siemens ZT. A more extensive discussion about these fundamental parts of a componentware methodology can be fo ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
This paper originates from the research project A1 -- Methods for Component-Based Software Engineering, a part of Bayerischer Forschungsverbund Software-Engineering (FORSOFT), supported by Siemens ZT. A more extensive discussion about these fundamental parts of a componentware methodology can
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