Abstract: A Survey Based on Performance-Bug Detection
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 118

Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 11, November 2016

A Survey Based on Performance-Bug Detection

S. Maheswari, Dr. K. Chitra

Software testing is the process of executing a program or system to discover the intent of bugs. Software testing is an activity designed to assess the properties or capabilities of a program or system and to determine the results that meet its requirements. Software performance is critical to how the user perceives the quality of the software product. Performance bugs are programming bugs that cause significant performance degradation, resulting in poor user experience and low system performance bugs. Designing effective techniques for handling bugs in yield design require a thorough understanding of how bugs are detected, reported and fixed. In this paper, to study how performance bugs, reported by developers to discover and develop fixation, and the results compared with non performance bugs. This paper conducts a detailed study of a sample of real-world performance bugs randomly from three sets of representative programs (Chrome, Mozilla and Apache). The results of this study serve as a guide for future work to prevent, expose, discover and correct performance bugs. First, found that there is little evidence that bug fixes are more likely to introduce new functional bugs to correct for erratic irregularities, which means that developers may not need more attention to correcting the performance of the bugs. Second, although fixing performance bugs is about as bug-prone as fixing nonperformance bugs, fixing performance bugs is more difficult than fixing non-performance bugs, indicating that developers need better tool support for fixing performance bugs and testing performance bug patches. Third, unlike many insects, a large percentage of performance bugs are detected by reasoning code, not by the user observing the negative effects of bugs or via profiles. The results show that the techniques that help developers need to test performance, better test beds and better profiling techniques to find performance bugs.

Keywords: Automation Tool, Performances Bug, Testing

Edition: Volume 5 Issue 11, November 2016

Pages: 1403 - 1409

Share this Article

How to Cite this Article?

S. Maheswari, Dr. K. Chitra, "A Survey Based on Performance-Bug Detection", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20163118, Volume 5 Issue 11, November 2016, 1403 - 1409

Enter Your Email Address


Similar Articles with Keyword 'Testing'

Downloads: 1

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 6, June 2021

Pages: 1240 - 1249

Secure Methods for Supplychain Management to Protect from Attacks in Blockchain

B. Ratnakanth, K. Venkata Ramana

Share this Article

Downloads: 1

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 7, July 2021

Pages: 915 - 920

Calibration Software: Performance Analysis

Prasad Rajendra Kumbhar, Anil R. Surve, Shailender Shekhawat

Share this Article

Similar Articles with Keyword 'Automation'

Downloads: 2

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 7, July 2021

Pages: 991 - 998

Advance Cataract Onset Detection Using Deep Learning

Aditya Parulekar, Ashwin Martins, Miral Fernandes, Pratikesh Bhat, Pratiksha Shetgaonkar, Dr. Shailendra Aswale

Share this Article

Downloads: 5

Review Papers, Computer Science & Engineering, India, Volume 10 Issue 7, July 2021

Pages: 613 - 616

Categorize & Compare Cloud Automation & Devops Tools

Pardeep Singh Virdi

Share this Article

Similar Articles with Keyword 'Tool'

Downloads: 0

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 8, August 2021

Pages: 1068 - 1070

Predicting the Course Knowledge Level of Students using Data Mining Techniques

Thapaswini P S

Share this Article

Downloads: 1

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014

Pages: 1884 - 1886

Performance Analysis of Clustal W Algorithm on Linux Cluster

Swati Jasrotia, Salam Din

Share this Article

Similar Articles with Keyword 'Performances'

Downloads: 92

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 7, July 2016

Pages: 1057 - 1058

Survey on Novel Hybrid Techniques in EAACK for Prevention of Attacks in MANETS

Pranita Prakash Kulkarni

Share this Article

Downloads: 98 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Research Paper, Computer Science & Engineering, Kenya, Volume 7 Issue 5, May 2018

Pages: 1409 - 1411

Students Performance Prediction Using FP-Tree Data Mining Techniques

Eliakim Ombati Akama

Share this Article

Similar Articles with Keyword 'Bug'

Downloads: 100

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 1058 - 1060

Data Integrity Proof in Cloud Computing using TPA with Privacy Preserving

Rushikesh P. Dhanokar

Share this Article

Downloads: 101

Review Papers, Computer Science & Engineering, India, Volume 4 Issue 2, February 2015

Pages: 2433 - 2435

Using Functional Point Analysis and Test Point Analysis Reducing Maintenance Cost of Software

Samadhan E. Kadam, Amol K. Kadam, Dr. S. D. Joshi

Share this Article
Top