15,504 research outputs found
Links between the personalities, styles and performance in computer programming
There are repetitive patterns in strategies of manipulating source code. For
example, modifying source code before acquiring knowledge of how a code works
is a depth-first style and reading and understanding before modifying source
code is a breadth-first style. To the extent we know there is no study on the
influence of personality on them. The objective of this study is to understand
the influence of personality on programming styles. We did a correlational
study with 65 programmers at the University of Stuttgart. Academic achievement,
programming experience, attitude towards programming and five personality
factors were measured via self-assessed survey. The programming styles were
asked in the survey or mined from the software repositories. Performance in
programming was composed of bug-proneness of programmers which was mined from
software repositories, the grades they got in a software project course and
their estimate of their own programming ability. We did statistical analysis
and found that Openness to Experience has a positive association with
breadth-first style and Conscientiousness has a positive association with
depth-first style. We also found that in addition to having more programming
experience and better academic achievement, the styles of working depth-first
and saving coarse-grained revisions improve performance in programming.Comment: 27 pages, 6 figure
Ethical Issues in Empirical Studies of Software Engineering
The popularity of empirical methods in software engineering research is on the rise. Surveys,
experiments, metrics, case studies, and field studies are examples of empirical methods used to
investigate both software engineering processes and products. The increased application of
empirical methods has also brought about an increase in discussions about adapting these
methods to the peculiarities of software engineering. In contrast, the ethical issues raised by
empirical methods have received little, if any, attention in the software engineering literature. This
article is intended to introduce the ethical issues raised by empirical research to the software
engineering research community, and to stimulate discussion of how best to deal with these ethical
issues. Through a review of the ethical codes of several fields that commonly employ humans and
artifacts as research subjects, we have identified major ethical issues relevant to empirical studies
of software engineering. These issues are illustrated with real empirical studies of software
engineering
A scan processor as an aid to program documentation
Program documentation was separated into two catagories: documentation for program use and documentation for program analysis, modification, or extension. The symbol scanner, flow chart production subsystem, decision table subsystem, and scan processor are also described
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