Goal-Oriented Setup and Usage of Custom-Tailored Software Cockpits

Software Cockpits, also known as Software Project Control Centers, support the management and controlling of software and system development projects and provide means for quantitative measurement-based project control. Currently, many companies are developing simple control dashboards that are mainly based on Spreadsheet applications. Alternatively, they use solutions providing a fixed set of project control functionality that cannot be sufficiently customized to their specific needs and goals. Specula is a systematic approach for defining reusable, customizable control components and instantiate them according to different organizational goals and characteristics based on the Quality Improvement Paradigm (QIP) and GQM. This article gives an overview of the Specula approach, including the basic conceptual model, goal-oriented measurement, and the composition of control components based on explicitly stated measurement goals. Related approaches are discussed and the use of Specula as part of industrial case studies is described.

[1]  Jürgen Münch,et al.  Evaluating Software Project Control Centers in Industrial Environments , 2007, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007).

[2]  H. D. Rombach,et al.  THE EXPERIENCE FACTORY , 1999 .

[3]  Ken-ichi Matsumoto,et al.  Ginger2: An Environment for Computer-Aided Empirical Software Engineering , 1999, IEEE Trans. Software Eng..

[4]  Jürgen Münch,et al.  Software project control centers: concepts and approaches , 2004, J. Syst. Softw..

[5]  Christiane M. Differding Adaptive measurement plans for software development , 2001 .

[6]  Cemal Yilmaz,et al.  Software Metrics , 2008, Wiley Encyclopedia of Computer Science and Engineering.

[7]  Hugo Dionisio Ramón Practical software measurement. Objective information for decision makers J. McGary, D. Card, C. Jones, B. Layman, W. Clark, J. Dean, F. Hall Addison-Wesley 2002, 2002 , 2003 .

[8]  Jürgen Münch,et al.  Evaluating Software Project Control Centers in Industrial Environments , 2007, ESEM 2007.

[9]  Marvin V. Zelkowitz,et al.  The Web Measurement Environment (WebME): A Tool for Combining and Modeling Distributed Data , 1997 .

[10]  Way Kuo,et al.  Software measurement: a visualization toolkit for project control and process improvement , 1998 .

[11]  Balachander Krishnamurthy,et al.  Provence: A Process Visualisation and Enactment Environment , 1993, ESEC.

[12]  John McGarry Practical Software Measurement: Objective Information for Decision Makers , 2001 .

[13]  Robert Hendrick,et al.  Software Management Environment (SME) concepts and architecture, revision 1 , 1992 .

[14]  Douglas C. Schmidt,et al.  Metric-driven analysis and feedback systems for enabling empirically guided software development , 1991, [1991 Proceedings] 13th International Conference on Software Engineering.

[15]  David N. Card,et al.  Managers Handbook for Software Development , 1984 .