Zádor Dániel Kelemen

Zádor Dániel Kelemen, Balázs Tódor, Sándor Hodosi et al.

In this paper an analysis of a technical support data with the goal of identifying process improvement actions for reducing interrupts is presented. A technical support chat is established and used to provide internal developer support to other development teams which use the software code developed by a core team. The paper shows how data analysis of a 6 months support time helped to identify gaps and action items for improving the technical support process to minimize interrupts from other developer teams. The paper also shows effects (advantages and drawbacks) of refactor actions taken based on this analysis.

Zádor Dániel Kelemen

In this report analysis of a support chat log of a development team is shown. Developer support chat is used to provide internal support to other development teams. The report shows how a fundamental data analysis helped to identify gaps and action items to boost performance of a development team by reducing time spent on developer support chat and minimizing interrupts from other developer teams. The report also shows an example of how a root cause analysis can be supported by simple data analysis in finding process improvement opportunities.

Zádor Dániel Kelemen, Gábor Bényász, Zoltán Badinka

In this report we propose a solution to problem of the dependency on the experience of the software project quality assurance personnel by providing a transparent, objective and measurement based quality framework. The framework helps the quality assurance experts making objective and comparable decisions in software projects by defining and assessing measurable quality goals and thresholds, directly relating these to an escalation mechanism. First results of applying the proposed measurement based software quality framework in a real life case study are also addressed in this report.

Zádor Dániel Kelemen

A number of differences among quality approaches exist and there can be various situations in which the usage of multiple approaches is required, e.g. to strengthen a particular process with multiple quality approaches or to reach certification of the compliance to a number of standards. First of all it has to be decided which approaches have potential for the organization. In many cases one approach does not contain enough information for process implementation. Consequently, the organization may need to use several approaches and the decision has to be made how the chosen approaches can be used simultaneously. This area is called Multi-model Software Process Improvement (MSPI). The simultaneous usage of multiple quality approaches is called the multi-model problem. In this dissertation we propose a solution for the multi-model problem which we call the Process Based Unification (PBU) framework. The PBU framework consists of the PBU concept, a PBU process and the PBU result. We call PBU concept the mapping of quality approaches to a unified process. The PBU concept is operationalized by a PBU process. The PBU result includes the resulting unified process and the mapping of quality approaches to the unified process.

Zádor Dániel Kelemen, Katalin Balla, Jos Trienekens et al.

In this paper we describe the first steps of a PhD programme, having the goal to develop a common meta-model for different software quality approaches and methods. We focus on presenting the structure of quality approaches emphasizing the similarities amongst them. Understanding the structure of quality approaches helps supporting organizations in using multiple quality approaches and methods in the same time.

Zádor Dániel Kelemen, Rob Kusters, Jos Trienekens et al.

Many of quality approaches are described in hundreds of textual pages. Manual processing of information consumes plenty of resources. In this report we present a text mining approach applied on CMMI, one well known and widely known quality approach. The text mining analysis can provide a quick overview on the scope of a quality approaches. The result of the analysis could accelerate the understanding and the selection of quality approaches.