MAGISTER: Quality assurance of Magic applications for software developers and end users

  • Authors:

  • Csaba Nagy;Laszlo Vidacs;Rudolf Ferenc;Tibor Gyimothy;Ferenc Kocsis;Istvan Kovacs

  • Affiliations:

  • University of Szeged, Hungary, Department of Software Engineering, Research Group on Artificial Intelligence;University of Szeged, Hungary, Department of Software Engineering, Research Group on Artificial Intelligence;University of Szeged, Hungary, Department of Software Engineering, Research Group on Artificial Intelligence;University of Szeged, Hungary, Department of Software Engineering, Research Group on Artificial Intelligence;SZEGED Software Zrt., Hungary;SZEGED Software Zrt., Hungary

  • Venue:
  • ICSM '10 Proceedings of the 2010 IEEE International Conference on Software Maintenance
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Nowadays there are many tools and methods available for source code quality assurance based on static analysis, but most of these tools focus on traditional software development techniques with 3GL languages. Besides procedural languages, 4GL programming languages such as Magic 4GL and Progress are widely used for application development. All these languages lie outside the main scope of analysis techniques. In this paper we present MAGISTER, which is a quality assurance framework for applications being developed in Magic, a 4GL application development solution created by Magic Software Enterprises. MAGISTER extracts data using static analysis methods from applications being developed in different versions of Magic (v5-9 and uniPaaS). The extracted data (including metrics, rule violations and dependency relations) is presented to the user via a GUI so it can be queried and visualized for further analysis. It helps software developers, architects and managers through the full development cycle by performing continuous code scans and measurements.