Title :
Managing software with new visual representations
Author :
Chuah, M.C. ; Eick, Stephen G.
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Managing large projects is a very challenging task requiring the tracking and scheduling of many resources. Although new technologies have made it possible to automatically collect data on project resources, it is very difficult to access this data because of its size and lack of structure. We present three novel glyphs for simplifying this process and apply them to visualizing statistics from a multi-million line software project. These glyphs address four important needs in project management: viewing time dependent data; managing large data volumes; dealing with diverse data types; and correspondence of data to real-world concepts.
Keywords :
data visualisation; project management; scheduling; software development management; statistical analysis; visual programming; data visualization; diverse data types; large data volume management; large project management; multi-million line software project; project resource tracking; scheduling; software development management; statistics; time dependent data viewing; visual programming; visual representations; Computer science; Data visualization; Engineering management; Human resource management; Processor scheduling; Production; Project management; Resource management; Software engineering; Statistics;
Conference_Titel :
Information Visualization, 1997. Proceedings., IEEE Symposium on
Conference_Location :
Phoenix, AZ, USA
Print_ISBN :
0-8186-8189-6
DOI :
10.1109/INFVIS.1997.636782