scholarly journals Towards the Measurement of Mental Effort in Software Engineering: A Research Agenda

2020 ◽  
Vol 177 (34) ◽  
pp. 1-8
Author(s):  
Lucian Goncales ◽  
Kleinner Farias
2018 ◽  
Vol 66 (10) ◽  
pp. 784-794 ◽  
Author(s):  
Jakob Mund ◽  
Safa Bougouffa ◽  
Iman Badr ◽  
Birgit Vogel-Heuser

Abstract Continuous integration (CI) is widely used in software engineering. The observed benefits include reduced efforts for system integration, which is particularly appealing for engineering automated production systems (aPS) due to the different disciplines involved. Yet, while many individual quality assurance means for aPS have been proposed, their adequacy for and systematic use in CI remains unclear. In this article, the authors provide two key contributions: First, a quality model for a model-based engineering approach specifically developed for aPS. Based thereon, a discussion of the suitable verification techniques for aPS and their systematic integration in a CI process are given. As a result, the paper provide a blueprint to be further studied in practice, and a research agenda for quality assurance of aPS.


2019 ◽  
Vol 44 (3) ◽  
pp. 60-64
Author(s):  
Ilias Gerostathopoulos ◽  
Marco Konersmann ◽  
Stephan Krusche ◽  
David I. Mattos ◽  
Jan Bosch ◽  
...  

2020 ◽  
Vol 32 (4) ◽  
pp. 1003-1027 ◽  
Author(s):  
Katharina Scheiter ◽  
Rakefet Ackerman ◽  
Vincent Hoogerheide

Abstract A central factor in research guided by the Cognitive Load Theory (CLT) is the mental effort people invest in performing a task. Mental effort is commonly assessed by asking people to report their effort throughout performing, learning, or problem-solving tasks. Although this measurement is considered reliable and valid in CLT research, metacognitive research provides robust evidence that self-appraisals of performance are often biased. In this review, we consider the possibility that mental effort appraisals may also be biased. In particular, we review signs for covariations and mismatches between subjective and objective measures of effort. Our review suggests that subjective and most objective effort measures appear reliable and valid when evaluated in isolation, because they discriminate among tasks of varying complexity. However, not much is known about their mutual correspondence—that is, whether subjective measures covariate with objective measures. Moreover, there is evidence that people utilize heuristic cues when appraising their effort, similar to utilization of heuristic cues underlying metacognitive appraisals of performance. These cues are identified by exposing biases—mismatch in effects of cue variations on appraisals and performance. The review concludes with a research agenda in which we suggest applying the well-established methodologies for studying biases in self-appraisals of performance in metacognitive research to investigating effort appraisals. One promising method could be to determine the covariation of effort appraisals and objective effort measures as an indicator of the resolution of effort appraisals.


1990 ◽  
Vol 33 (3) ◽  
pp. 281-293 ◽  
Author(s):  
CORPORATE Computer Science and Technology Boa

2015 ◽  
Vol 40 (6) ◽  
pp. 28-32 ◽  
Author(s):  
Tomas Bures ◽  
Danny Weyns ◽  
Christian Berger ◽  
Stefan Biffl ◽  
Marian Daun ◽  
...  

Author(s):  
Adrián Hernández-López

Job satisfaction and motivation are traditional areas of organizational psychology research. Nevertheless, within Software Engineering (SE), these concepts continue to be in the research agenda. These concepts are interrelated between them and with other important management aspects within SE: productivity measurement. In this paper, the job satisfaction and the motivation of software development team members are analyzed using a qualitative exploratory approach. Results are presented under the point of view of Maslow’s hierarchy of needs and Herzberg’s dual factor theory. Moreover, the factors that participants considered as improvers of their productivity are also analyzed. And also, links between productivity factors and motivation are analyzed. Finally, results points to a high presence of hygienic factors that should be covered if organizations what to improve the job satisfaction of software project team workers.


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