Empirical research in software engineering concepts, analysis, and applications
Written by a leading researcher in empirical software engineering, the book describes the necessary steps to perform replicated and empirical research. It explains how to plan and design experiments, conduct systematic reviews and case studies, and analyze the results produced by the empirical studi...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton
CRC Press, Taylor & Francis Group
2016
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Call Number : | QA 76.758 .M35 2016 |
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | 101825 | ||
| 003 | MY-KLNDU | ||
| 005 | 20241220040106.0 | ||
| 008 | 221104 2016 xxua abi 001 0 eng d | ||
| 020 | |a 9781498719728 (hardback) | ||
| 020 | |a 1498719724 (hardback) | ||
| 039 | 9 | |a 202211041155 |b VLOAD |c 201707171047 |d johari |y 201610241506 |z hasri | |
| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a QA 76.758 |b .M35 2016 | ||
| 100 | 1 | |a Malhotra, Ruchika, |e author. | |
| 245 | 1 | 0 | |a Empirical research in software engineering |b concepts, analysis, and applications |c Ruchika Malhotra. |
| 264 | 1 | |a Boca Raton |b CRC Press, Taylor & Francis Group |c 2016 | |
| 300 | |a xxv, 472 pages |b illustrations |c 26 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 504 | |a Includes bibliographical references (page 445-458) and index. | ||
| 520 | |a Written by a leading researcher in empirical software engineering, the book describes the necessary steps to perform replicated and empirical research. It explains how to plan and design experiments, conduct systematic reviews and case studies, and analyze the results produced by the empirical studies. The book balances empirical research concepts with exercises, examples, and real-life case studies, making it suitable for a course on empirical software engineering. The author discusses the process of developing predictive models, such as defect prediction and change prediction, on data collected from source code repositories. She also covers the application of machine learning techniques in empirical software engineering, includes guidelines for publishing and reporting results, and presents popular software tools for carrying out empirical studies. | ||
| 592 | |a 32683 |b 09/01/2017 |c RM395.74 |h Bookline | ||
| 650 | 0 | |a Software engineering. | |
| 999 | |a vtls000057112 |c 101825 |d 101825 | ||