Cite this DOI

Dr.M.V Siva Prasad, D. S. P. (2022). A Survey of Controlled Experiments in Software Engineering. *Journal of Science & Technology*, *7*(2), 395–422. https://doi.org/10.46243/jst.2022.v7.i02.pp395-422

@article{drmvsivaprasad2022survey,
  author    = {Dr.M.V Siva Prasad, Dr.M.V Siva Prasad},
  title     = {{A Survey of Controlled Experiments in Software Engineering}},
  journal   = {Journal of Science \& Technology},
  year      = {2022},
  month     = {jul},
  volume    = {7},
  number    = {2},
  pages     = {395--422},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2022.v7.i02.pp395-422},
  url       = {https://doi.org/10.46243/jst.2022.v7.i02.pp395-422},
  language  = {en},
  abstract  = {The classical method for identifying cause-effect relationships is to conduct controlled experiments. This paper reports upon the present state of how controlled experiments in software engineering are conducted and the extent to which relevant information is reported. Among the 5,453 scientific articles published in 12 leading software engineering journals and conferences inthe decade from 1993 to 2002, 103 articles (1.9 percent) reported controlled experiments in which individuals or teams performed one or more software engineering tasks. This survey quantitatively characterizes the topics of the experiments and their subjects (number of subjects, students versus professionals, recruitment, and rewards for participation), tasks (type of task, duration, and type and size of application) and environments (location, development tools). Furthermore, the survey reports on how internal and external validity is addressed and the extent to which experiments are replicated. The gathered data reflects the relevance of software engineering experiments to industrial practice and the scientific maturity of software engineering research}
}

TY  - JOUR
TI  - A Survey of Controlled Experiments in Software Engineering
AU  - Dr.M.V Siva Prasad, Dr.M.V Siva Prasad
JO  - Journal of Science & Technology
PY  - 2022
DA  - 2022/07/03/
VL  - 7
IS  - 2
SP  - 395
EP  - 422
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - The classical method for identifying cause-effect relationships is to conduct controlled experiments. This paper reports upon the present state of how controlled experiments in software engineering are conducted and the extent to which relevant information is reported. Among the 5,453 scientific articles published in 12 leading software engineering journals and conferences inthe decade from 1993 to 2002, 103 articles (1.9 percent) reported controlled experiments in which individuals or teams performed one or more software engineering tasks. This survey quantitatively characterizes the topics of the experiments and their subjects (number of subjects, students versus professionals, recruitment, and rewards for participation), tasks (type of task, duration, and type and size of application) and environments (location, development tools). Furthermore, the survey reports on how internal and external validity is addressed and the extent to which experiments are replicated. The gathered data reflects the relevance of software engineering experiments to industrial practice and the scientific maturity of software engineering research
DO  - 10.46243/jst.2022.v7.i02.pp395-422
UR  - https://doi.org/10.46243/jst.2022.v7.i02.pp395-422
ER  -

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    "title": "A Survey of Controlled Experiments in Software Engineering",
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2022.v7.i02.pp395-422 gives all four in one JSON answer.