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Combining and Analyzing Distributed Data: WebME |
Problem |
Measurement collection activities have been emphasized as
effective instruments for gaining control and insight into software
activities. Because of this, many organizations have incorporated data
collection into their software processes. Although the data are being
collected, often, the collection process is write-only. That
is, the data are not being used easily or effectively. In order to
maximize the benefits gained from data collection activities,
techniques which are accessible and present the data in intelligible
ways are necessary. In addition, these techniques must be flexible and
easily incorporated into existing processes.
The SME, Software Management Environment, of NASA's Flight Dynamics Division and the Software Engineering Laboratory attempts to address part of this problem. It allows data from several projects to be graphically displayed in various ways and plots underlying models of the data. The SME system was built in the mid-80's and has some limitations. Among the weaknesses are an antiquated user interface, static data attributes and simple data modeling techniques. |
Goal |
To design and implement a data visualization tool in order to utilize collected data more easily and effectively. More specifically, we want to extend the capabilities of SME to make it more flexible and useful for multiple domains and data types. |
Keywords |
WebME, WWW interface, data visualization, measurement data, data analysis, data modeling, experimental software engineering |
Participants |
Roseanne Tesoriero, Marvin Zelkowitz |
References |
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This presents the concepts and architecture of SME. SME provides an integrated set of experience-based management tools that can assist software development managers in managing and planning flight dynamics software development projects.
This summarizes the clustering capabilities of SME and in the process gives a general overview of SME execution. ( Postscript version of paper). |