Author of the publication

Analyzing defect inflow distribution and applying Bayesian inference method for software defect prediction in large software projects.

, , , , , and . J. Syst. Softw., (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Consequences of Mispredictions of Software Reliability: A Model and its Industrial Evaluation., , , and . IWSM/Mensura, page 157-162. IEEE Computer Society, (2014)A framework for identifying and evaluating technologies of interest for effective business strategy: Using text analytics to augment technology forecasting., , and . ISCBI, page 110-115. IEEE, (2017)A Framework for Adoption of Machine Learning in Industry for Software Defect Prediction., , , , and . ICSOFT EA, page 383-392. SciTePress, (2014)Software Defect Prediction in Automotive and Telecom Domain: A Life-Cycle Approach., , , , and . ICSOFT (Selected Papers), volume 555 of Communications in Computer and Information Science, page 217-232. Springer, (2014)First International Workshop on Emerging Trends in DevOps and Infrastructure., and . XP Workshops, page 11. ACM, (2016)Improving Fault Injection in Automotive Model Based Development using Fault Bypass Modeling., , , , , and . GI-Jahrestagung, volume P-220 of LNI, page 2577-2591. GI, (2013)Building an Effective Software Issues Scorecard: An Action Research Report from the Automotive Domain., , and . ICSA Companion, page 136-143. IEEE Computer Society, (2018)Improving Measurement Certainty by Using Calibration to Find Systematic Measurement Error - A Case of Lines-of-Code Measure., , and . KKIO Software Engineering Conference, volume 504 of Advances in Intelligent Systems and Computing, page 119-132. Springer, (2016)Defect Prediction over Software Life Cycle in Automotive Domain - State of the Art and Road Map for Future., , , and . ICSOFT EA, page 377-382. SciTePress, (2014)The Adoption of Machine Learning Techniques for Software Defect Prediction: An Initial Industrial Validation., , , , , and . JCKBSE, volume 466 of Communications in Computer and Information Science, page 270-285. Springer, (2014)