Johannes C. Hofmeister

According to our database, Johannes C. Hofmeister authored at least 9 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Shorter identifier names take longer to comprehend.

Johannes C. Hofmeister, Janet Siegmund, Daniel V. Holt

Empir. Softw. Eng., 2019

Indentation: simply a matter of style or support for program comprehension?

Jennifer Bauer, Janet Siegmund, Norman Peitek, Johannes C. Hofmeister, Sven Apel

Proceedings of the 27th International Conference on Program Comprehension, 2019

2018

A Brief SurveyOf Object-Oriented Ideas.

Johannes C. Hofmeister, Janet Siegmund, Sven Apel

Softwaretechnik-Trends, 2018

Indentation: A Simple Matter of Style or Support for Program Comprehension?

Jennifer Bauer, Johannes C. Hofmeister, Janet Siegmund, Sven Apel

Softwaretechnik-Trends, 2018

Neural Efficiency of Top-Down Program Comprehension.

Norman Peitek, Janet Siegmund, Chris Parnin, Sven Apel, Johannes C. Hofmeister, Christian Kästner, Andrew Begel, Anja Bethmann, André Brechmann

Proceedings of the Software Engineering und Software Management 2018, 2018

Descriptive compound identifier names improve source code comprehension.

Andrea Schankin, Annika Berger, Daniel V. Holt, Johannes C. Hofmeister, Till Riedel, Michael Beigl

Proceedings of the 26th Conference on Program Comprehension, 2018

Simultaneous measurement of program comprehension with fMRI and eye tracking: a case study.

Norman Peitek, Janet Siegmund, Chris Parnin, Sven Apel, Johannes C. Hofmeister, André Brechmann

Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

2017

Measuring neural efficiency of program comprehension.

Janet Siegmund, Norman Peitek, Chris Parnin, Sven Apel, Johannes C. Hofmeister, Christian Kästner, Andrew Begel, Anja Bethmann, André Brechmann

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

2016

Influence of Identifier Length and Semantics on the Comprehensibility of Source Code.

Johannes C. Hofmeister, Janet Siegmund, Daniel V. Holt

Softwaretechnik-Trends, 2016