33,835 research outputs found
Assessing technical candidates on the social web
This is the pre-print version of this Article. The official published version can be accessed from the link below - Copyright @ 2012 IEEEThe Social Web provides comprehensive and publicly available information about software developers: they can be identified as contributors to open source projects, as experts at maintaining weak ties on social network sites, or as active participants to knowledge sharing sites. These signals, when aggregated and summarized, could be used to define individual profiles of potential candidates: job seekers, even if lacking a formal degree or changing their career path, could be qualitatively evaluated by potential employers through their online
contributions. At the same time, developers are aware of the Web’s public nature and the possible uses of published information when they determine what to share with the world. Some might even try to manipulate public
signals of technical qualifications, soft skills, and reputation in their favor. Assessing candidates on the Web for
technical positions presents challenges to recruiters and traditional selection procedures; the most serious being the interpretation of the provided signals.
Through an in-depth discussion, we propose guidelines for software engineers and recruiters to help them interpret the value and trouble with the signals and metrics they use to assess a candidate’s characteristics and skills
U.S. agriculture: challenges for the twenty-first century
Agriculture ; Farm produce ; Exports
The performance of Seventh District food processing
Federal Reserve District, 7th ; Food industry and trade
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
- …