Elected to the grade of IEEE Senior Member

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Visiting Brunel University London as Visiting Researcher, Invited Lecture “Towards More Credible Empirical Software Engineering Research”

In September 2017, I had a great pleasure to visit Brunel University London at the invitation of Prof. Tracy Hall (Head of the Department of Computer Sciences, College of Engineering, Design and Physical Science, Brunel University London, UK) and Prof. Martin Shepperd (Chair of Software Technology & Modelling), and gave the invited lecture entitled “Towards More Credible Empirical Software Engineering Research”.

 

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My keynote “Towards More Credible Research” at IEEE International Conference INISTA’2017

I gave a keynote “Towards More Credible Empirical Research”at IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA’2017).

 

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My keynote speech “Towards More Credible Research” at the IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA 2017)

I will give the keynote speech “Towards More Credible Research” at the IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA 2017) in July 2017.

The aim of the talk is to discuss some problems with credibility of empirical research in software engineering (and beyond) and how to mitigate them. The focus of the talk is closely related to the special issue on “Enhancing Credibility of Empirical Software Engineering” in the Information and Software Technology journal (Elsevier), where I serve as a guest co-editor.

INISTA 2017 is organized by Gdynia Maritime University, Poland, in cooperation with Yildiz Technical University, Turkey, IEEE Poland Section, Polish Chapter IEEE Systems, Man, and Cybernetics Society and IEEE SMC TC on Computational Collective Intelligence.

 

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Special Issue on Enhancing Credibility of Empirical Software Engineering in Information and Software Technology (Elsevier)

Prepare an (in)credible paper on “Enhancing Credibility of Empirical Software Engineering“!

Special Issue of the Information and Software Technology (Elsevier) – see Call for Papers!

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Invited Lecture at the Committee on Informatics of the Polish Academy of Sciences

On October 12, 2016, I had a great pleasure to gave the invited lecture entitled “Empirical Software Engineering Research from the Trenches” at the invitation of Professor Roman Słowiński (Head of the Committee on Informatics of the Polish Academy of Sciences). The lecture was given during the meeting of the Committee on Informatics of the Polish Academy of Sciences in Warsaw.

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Elsevier’s Information and Software Technology (IST) Journal Reviewer Award

Today I had a great pleasure to receive Elsevier’s Information and Software Technology (IST) Journal Reviewer Award  ”for Exceptional Contribution to the Quality of the Journal when Serving as Reviewer from 2014 to 2015” given by Prof. Guenther Ruhe (Editor in Chief) and Dr Gaia Lupo (Publisher).

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Two books on software engineering research and practice I had a pleasure to co-edit together with Mirosław Ochodek

I had a pleasure to co-edit (together with Mirosław Ochodek) two books on software engineering research and practice:

1) The first book was published in English:

Lech Madeyski and Mirosław Ochodek, eds., Software Engineering from Research and Practice Perspectives. pp.1-200, ISBN: 978-83-63919-16-0, Nakom, 2014.

2) The second book was published in Polish:

Lech Madeyski and Mirosław Ochodek, eds., Inżynieria oprogramowania: Badania i praktyka. pp. 1-217, ISBN: 978-83-63919-15-3, Nakom, 2014.

The former book (in English) includes my paper on recent (since 2010) Polish achievments in Software Engineering research in comparison to contribution of researchers from other European countries:

Jakub Jurkiewicz, Piotr Kosiuczenko, Lech Madeyski, Mirosław Ochodek, Cezary Orłowski, Łukasz Radliński. “Recent Polish achievements in Software Engineering.” In Software Engineering from Research and Practice Perspectives (Eds. Lech Madeyski, M. Ochodek), pp. 15‐38, Scientific Papers of The Polish Information Processing Society Scientific Council, ISBN 978‐83‐63919‐16‐0, 2014.

 

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My subsequent paper in Foundations of Computing and Decision Sciences (FCDS) is available from the publisher

A new paper entitled “Bottlenecks in software defect prediction implementation in industrial projects” by Jarosław Hryszko (Volvo IT and WUT) and Lech Madeyski has been published in the Foundations of Computing and Decision Sciences journal, vol. 40, pp. 17-33, March 2015, DOI: 10.1515/fcds-2015-0002.

Here is the abstract of the paper:

Case studies focused on software defect prediction in real, industrial software development projects are extremely rare. We report on dedicated R&D project established in cooperation between Wroclaw University of Technology and one of the leading automotive software development companies to research possibilities of introduction of software defect prediction using an open source, extensible software measurement and defect prediction framework called DePress (Defect Prediction in Software Systems) the authors are involved in. In the first stage of the R&D project, we verified what kind of problems can be encountered. This work summarizes results of that phase.

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My paper in Foundations of Computing and Decision Sciences (FCDS) is available from the publisher

A new paper entitled “Software measurement and defect prediction with depress extensible framework” by Lech Madeyski and Marek Majchrzak (Capgemini Poland and WUT) has been published in the Foundations of Computing and Decision Sciences journal, vol. 39, pp. 249–270, December 2014. DOI: 10.2478/fcds-2014-0014. DePress software measurement na predictive modeling platform is available as an open source project from GitHub (ImpressiveCode-DePress).

Here is the abstract of the paper:

Context. Software data collection precedes analysis which, in turn, requires data science related skills. Software defect prediction is hardly used in industrial projects as a quality assurance and cost reduction mean.

Objectives. There are many studies and several tools which help in various data analysis tasks but there is still neither an open source tool nor standardized approach.

Results. We developed Defect Prediction for software systems (DePress), which is an extensible software measurement, and data integration framework which can be used for prediction purposes (e.g. defect prediction, effort prediction) and software changes analysis (e.g. release notes, bug statistics, commits quality). DePress is based on the KNIME project and allows building workflows in a graphic, end-user friendly manner.

Conclusions. We present main concepts, as well as the development state of the DePress framework. The results show that DePress can be used in Open Source, as well as in industrial project analysis.

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