China
Africa
Explore chapters and articles related to this topic
Experimentation
Published in Diane P. Michelfelder, Neelke Doorn, The Routledge Handbook of the Philosophy of Engineering, 2020
The lack of a well-developed experimental methodology in software engineering can be seen as the driving force in the foundation of the journal Empirical Software Engineering (Basili and Briand 1996) and of the first International Symposium on Empirical Software Engineering (IEEE 2007). Notwithstanding these efforts, Juristo and Moreno (2001) provide a list of caveats to show how software engineering is still immature with respect to these methodological issues. In particular, it emphasizes: a lack of training in assessing the importance and meaning of the scientific method, a lack of statistical training to understand how to analyze experimental data, and a lack of interest in publishing empirical studies conducted to check the ideas of others.
Using biometric data in software engineering: a systematic mapping study
Published in Behaviour & Information Technology, 2021
Juliano Paulo Menzen, Kleinner Farias, Vinicius Bischoff
From Table 9 is possible identify that some authors are active in the searched area, such as Janet Siegmund (6 articles), Thomas Fritz (6 articles) and Sebastian Muller (5 articles). These authors have the following characteristics: Janet Siegmund: PhD researcher at the University of Passau, Germany. Her main interests are code comprehension, experimental software engineering, human factors in computer science and Functional Magnetic Resonance Imaging (fMRI). Sebastiam Muller: Assistant Researcher at the University of Zurich from 2011 until 2016, when he held his pos doc until 2017. Also active in the field of Software Engineering in the industry until 2019. Thomas Fritz: Professor at the University of Zurich. His research is related to the empirical software engineering and the use of biometric data to better understand developers and improve their productivity. The other authors present a smaller number of publications, with a maximum of three publications each.
Extending data-driven model of software with software change request service
Published in Enterprise Information Systems, 2018
Zeljko Stojanov, Dalibor Dobrilovic, Jelena Stojanov
Previous discussion indicates that there is a significant space for developing and implementing model-driven approaches focused on improving maintainability of data-intensive software systems. Thinking in that direction, we designed a study aimed at contributing to the theoretical and empirical knowledge in that field. In the next section, we propose a modeling approach that was implemented in an educational environment. The approach was evaluated by the students, which is common case for getting insight into new methods and tools in empirical software engineering (Carver et al. 2010). The evaluation was organized in the form of a qualitative study aimed at identifying advantages and disadvantages of software change request service integrated in software used for managing network scenarios at university. Discussion of challenges for industrial implementation is also presented.
Analysing trade-offs in frameworks for the design of smart environments
Published in Behaviour & Information Technology, 2020
Carmelo Ardito, Giuseppe Desolda, Rosa Lanzilotti, Alessio Malizia, Maristella Matera
Conclusion validity. Conclusion validity refers to the validity of the statistical tests applied for the analysis of the collected data. In our study, this validity was ensured by applying the most common tests that are traditionally employed in Empirical Software Engineering (Juristo and Moreno 2013). It is worth remarking that the significance level we used in this paper (p < .1) is slightly less strict than the conventional ones (p < .05 or p < .01). This because the overall goal of this research is to identify trends and trade-offs between the analysed dimensions of the three systems (Fisher 1992); the higher threshold thus allowed us to consider also those results with p-values in the range 0.1–0.05, which still highlight trends.