Software engineering job productivity-a systematic review
International Journal of Software Engineering and Knowledge Engineering, ISSN: 0218-1940, Vol: 23, Issue: 3, Page: 387-406
2013
- 29Citations
- 55Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Productivity is a key element in organizational management. Although it can be measured at different levels (country, sector, organization ...) this research focuses on productivity at the job level. The aim of this paper is to obtain an overview of the state of the art in productivity measurement in software engineering, including the inputs and outputs of the production process used for this measurement at the job level in the workplace. To do so, a systematic literature review protocol was adapted from literature review protocol standards, and subsequently carried out. The objective is to assess the current inputs and outputs present in the literature in order to create new productivity measures for software practitioners. This paper reveals that two different measures are used to assess software engineering professionals: traditional SLOC/Time and planning projects units per time unit. © 2013 World Scientific Publishing Company.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84880544566&origin=inward; http://dx.doi.org/10.1142/s0218194013500125; http://www.worldscientific.com/doi/abs/10.1142/S0218194013500125; http://www.worldscientific.com/doi/pdf/10.1142/S0218194013500125; https://www.worldscientific.com/doi/abs/10.1142/S0218194013500125; https://www.worldscientific.com/doi/pdf/10.1142/S0218194013500125
World Scientific Pub Co Pte Lt
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