@conference {LHF14,
	title = {The Connection of the Bug Density and Maintainability of Classes},
	booktitle = {8th International Workshop on Software Quality and Maintainability},
	series = {SQM},
	year = {2014},
	note = {Presentation only},
	month = {feb},
	address = {Antwerp, Belgium},
	abstract = {Measuring software product maintainability is a central issue in software engineering which led to a number of different practical quality models. Besides system level assessments it is also desirable that these models provide technical quality information at source code element level (e.g. classes, methods) to aid the improvement of the software. Although many existing models give an ordered list of source code elements that should be improved, it is unclear how these improvements affect other important quality indicators of the system, e.g. bug density. In this paper we empirically investigate the connection of bug numbers in the classes of different open-source systems and the class level maintainability measures of our ColumbusQM probabilistic quality model using open-access bug datasets. We show that classes with lower maintainability score contain significantly more bugs than more maintainable classes. Moreover, in terms of correctness and completeness, ColumbusQM competes with statistical and machine learning prediction models especially trained on the bug data using product metrics as predictors. This is a great achievement in the light of that our model needs no training and its purpose is different (e.g. to estimate testability, or development costs) than those of the bug prediction models. In summary, we show that improving the maintainability of a software according to the suggestions of our quality model will expectedly also reduce its bug density.},
	keywords = {Bug density, Bug prediction, Class level maintainability, ColumbusQM, ISO/IEC 25010, Software maintainability},
	author = {Lad{\'a}nyi, Gergely and P Heged{\H u}s and Rudolf Ferenc and Istv{\'a}n Siket and Tibor Gyim{\'o}thy}
}
@conference {BHS14,
	title = {{QualityGate SourceAudit}: a Tool for Assessing the Technical Quality of Software},
	booktitle = {Proceedings of the 2014 Software Evolution Week (Merger of the 18th IEEE European Conference on Software Maintenance and Reengineering \& 21st IEEE Working Conference on Reverse Engineering {\textendash} CSMR-WCRE 2014)},
	year = {2014},
	month = {feb},
	pages = {440{\textendash}445},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Antwerp, Belgium},
	abstract = {Software systems are evolving continuously in order to fulfill the ever-changing business needs. This endless modification, however, decreases the internal quality of the system over time. This phenomena is called software erosion, which results in higher development, testing, and operational costs. The SourceAudit tool presented in this paper helps managing the technical risks of software deterioration by allowing imme-diate, automatic, and objective assessment of software quality. By monitoring the high-level technical quality of systems it is possible to immediately perform the necessary steps needed to reduce the effects of software erosion, thus reaching higher maintainability and lower costs in the mid and long-term. The tool measures source code maintainability according to the ISO/IEC 25010 based probabilistic software maintainability model called ColumbusQM. It gives a holistic view on software quality and warns on source code maintainability decline.},
	keywords = {ColumbusQM, development costs, internal system quality, ISO-IEC 25010 based probabilistic software maintainability, operational costs, QualityGate SourceAudit, software deterioration, Software Erosion, Source code maintainability, technical software quality, testing costs},
	doi = {10.1109/CSMR-WCRE.2014.6747214},
	url = {http://ieeexplore.ieee.org/document/6747214/},
	author = {Tibor Bakota and P Heged{\H u}s and Istv{\'a}n Siket and Lad{\'a}nyi, Gergely and Rudolf Ferenc}
}
