IDE Interaction Support With Command Recommender Systems

Software developers' knowledge of integrated development environment (IDE) directly impacts on their productivity. IDE command recommender systems aim at identifying and convincingly presenting to software developers functionality that can help them to accomplish their daily tasks, without overloading them with well known or useless information. Command recommendation requires the estimation of both the utility of commands and the acceptance of the user for new command recommendations. In this paper, we focus on how and when such recommendations should be presented. We performed a long-term user study and our results show that IDE command recommendation must be presented with adequate descriptions of the commands and good usage examples. It seems that a higher frequency of recommendation notifications could be useful, but it should not be too intrusive, especially while developers are focusing on more demanding tasks. To improve recommendation acceptance rate, researchers should also focus on context-aware algorithms and tailor command recommendation timing

development tools usage inside out

The software engineering community is continuously producing tools to tackle software construction problems. This paper presents a research study to identify which tools, artifacts, and commands developers use during task solving and how one can design software that can suggest and convince the developer to use specific software construction techniques. We want to understand under which conditions developers accept suggestions for a more efficient and effective usage of the available instruments, and if observed usage patterns correlate with observable improvements in the process or product. The expected results include detailed logs of how developers construct software during XP 2016, their preferences for software construction recommendations, and which effects accepted suggestions have on task execution and outcome

GUI evaluation data for an IDE command recommender system

This dataset contains results of the study conducted among the participants of the XP 2016 (a scientific conference with a strong participation of practitioners from the industry). The objective of the study was to evaluate the acceptance and usability of the proposed Graphical User Interface (GUI) for an Integrated Development Environment (IDE) command recommender system (RS). The data was collected by the questionnaire and the interviews. The data is anonymized. Content: README.txt ./Survey answers.csv - the questionnaire answers ./Interviews ./interviewXXX.txt - a file with a transcribed interview ./mapping-codes-to-primary-documents.csv - a binary table summarizing interview

Modeling Context-Aware Command Recommendation and Acceptance in an IDE

Abstract-For software developers to use the full range of available commands in an integrated development environment, one has to provide proactive support which can suggest unknown commands that could be useful for the task at hand. Researchers started exploring the potential of recommender systems to provide this type of help, but so far there are still very few contributions. We propose a new multi-criteria context-aware rating prediction model that can be used to predict the user choice of either to accept or reject an IDE command recommendation. Individual command recommendation evaluation criteria are: performance expectancy, effort expectancy, and social influence; besides, the overall evaluation/rating is the intention to use a command. We have identified four types of contexts, namely, current practice, environment, interaction, and recommendation presentation context. The model is aimed at improving recommendation quality and enabling more effective recommendation presentations

Nuclear astrophysics with radioactive ions at FAIR

The nucleosynthesis of elements beyond iron is dominated by neutron captures in the s and r processes. However, 32 stable, proton-rich isotopes cannot be formed during those processes, because they are shielded from the s-process flow and r-process β-decay chains. These nuclei are attributed to the p and rp process. For all those processes, current research in nuclear astrophysics addresses the need for more precise reaction data involving radioactive isotopes. Depending on the particular reaction, direct or inverse kinematics, forward or time-reversed direction are investigated to determine or at least to constrain the desired reaction cross sections. The Facility for Antiproton and Ion Research (FAIR) will offer unique, unprecedented opportunities to investigate many of the important reactions. The high yield of radioactive isotopes, even far away from the valley of stability, allows the investigation of isotopes involved in processes as exotic as the r or rp processes