DevOps Project Management Tools for Sprint Planning, Estimation and Execution Maturity

1. Soni, M. The CASE for DevOps in Insurance Industry-End to End Automation on Cloud with Build Pipeline. – In: Proc. of IEEE International Conference on Cloud Computing in Emerging Markets, Gandhinagar, India, 2015.Search in Google Scholar

2. Fitzgerald, B., K. -J. Stol. Continuous Software Engineering and Beyond: Trends and Challenges. – In: Proc. of 1st International Workshop on Rapid Continuous Software Engineering (RCoSE), 2014, pp. 1-9.10.1145/2593812.2593813Search in Google Scholar

3. The High Cost of Low Performance. The Essential Role of Communications (Accessed on 21 November 2017). http://www.pmi.org/-/media/pmi/documents/public/pdf/learning/thought-leadership/pulse/the-essential-role-of-communications.pdfSearch in Google Scholar

4. Drury, M., K. Conboy, K. Power. Decision Making in Agile Development: A Focus Group Study of Decisions and Obstacles. – In: Proc. of AGILE Conference (AGILE’11), 2011, pp. 39-47.10.1109/AGILE.2011.27Search in Google Scholar

5. Alhazmi, A., S. Huang. A Decision Support System for Sprint Planning in Scrum Practice. – In: Proc. of IEEE SoutheastCon, Florida, USA, 4-7 April 2013, St. Petersburg, Rusia.Search in Google Scholar

6. Sheshasaayee, A., V. Hannah. Identifying Bottlenecks in Agile Software Development Using Theory of Constraints Principles. – Indian Journal of Science and Technology, Vol. 8, 2015, No 29.10.17485/ijst/2015/v8i29/85288Search in Google Scholar

7. Kurmann, R. Agile SPL-SCM Agile Software Product Line Configuration and Release Management. – In: Proc. of 1st International Workshop on Agile Product Line Engineering (APLE’06), Maryland, USA, 2006.Search in Google Scholar

8. Ahmed, F., S. Bouktif, L. F. Capretz. Organizational Behavior & Software Product Line Engineering: An Empirical Study. – In: Proc. of International Conference Computer Systems and Applications, AICCSA, IEEE/ACS, Rabat, 2009, pp. 420-427.10.1109/AICCSA.2009.5069359Search in Google Scholar

9. Erich, F., A. Chintan, M. Daneva. DevOps Literature Review (Accessed on 24 October 2017). http://www.utwente.nl/bms/iebis/staff/amrit/devopsreport.pdfSearch in Google Scholar

10. Claps, G. G., R. B. Svensson, A. Aurum. On the Journey to Continuous Deployment: Technical and Social Challenges along the Way. – Information and Software Technology, Elsevier, Vol. 57, 2015, pp. 21-31.10.1016/j.infsof.2014.07.009Search in Google Scholar

11. Angara, J., S. Prasad, S. Gutta. DevOps Product Line Engineering (DPLE): Where DevOps Meets Software Product Lines. – International Journal of Sciences and Research, Vol. 72, 2016, No 11.10.21506/j.ponte.2016.11.35Search in Google Scholar

12. Test Automation Assessment and Implementation (Accessed on 24 October 2017). https://xbosoft.com/software-qa-consulting-services/test-automation-assessment/Search in Google Scholar

13. Schur, M., A. Roth, A. Zeller. Mining Workflow Models from Web Applications. – IEEE Transactions on Software Engineering, Vol. 41, 2015, No 12, p. 1.10.1109/TSE.2015.2461542Search in Google Scholar

14. Jumpstarting DevOps with Continuous Testing (Accessed on 24 October 2017). https://www.cognizant.com/content/dam/Cognizant_Dotcom/whitepapers/Jumpstarting-DevOps-with-Continuous-Testing-codex1719.pdfSearch in Google Scholar

15. Continuous Testing for IT Leaders (Accessed on 24 October 2017). https://alm.parasoft.com/continuoustestingbookSearch in Google Scholar

16. C a n n i z z o, F., R. C l u t t o n, R. R a m e s h. Pushing the Boundaries of Testing and Continuous Integration. – In: Proc. of Agile Conference (AGILE’08), Toronto, 2008, pp. 501-505.Search in Google Scholar

17. Reich, C., B. Scharpf. Continuous Software Test Distributed Execution and Integrated into the Globus Toolkit. – In: 5th International Symposium on Parallel and Distributed Computing, Timisoara, 2006, pp. 185-190.10.1109/ISPDC.2006.15Search in Google Scholar

18. Saff, D., M. D. Ernst. Continuous Testing in Eclipse. – In: Proc. of 27th International Conference on Software Engineering (ICSE’05), St. Louis, 18-20 May 2005, pp. 668-669.10.1145/1062455.1062600Search in Google Scholar

19. Muthusamy, T., K. Seetharaman. A New Effective Test Case Prioritization for Regression Testing Based on Prioritization Algorithm. – International Journal of Applied Information Systems, Vol. 6, 2014, No 7, pp. 21-26.10.5120/ijais14-451081Search in Google Scholar

20. Ramler, R., K. Wolfmaier. Economic Perspectives in Test Automation: Balancing Automated and Manual Testing with Opportunity Cost. – In: Proc. of International Workshop on Automation of Software Test, Shanghai, China, 23 May 2006.10.1145/1138929.1138946Search in Google Scholar

21. Berner, S., R. Weber, R. K. Keller. Observations and Lessons Learned from Automated Testing. – In: Proc. of 27th International Conference on Software Engineering (ICSE’05), St. Louis, MO, USA, 2005. pp. 571-579.10.1145/1062455.1062556Search in Google Scholar

22. Process for Scoping and Planning Test Automation Projects (Accessed on 24 October 2017). https://www.stickyminds.com/sites/default/files/presentation/file/2013/07STRER_W8.pdfSearch in Google Scholar

23. A Process for Scoping and Planning Test Automation Projects. – In: Proc. of International Conference on Software Test Analysis and Review. https://www.stickyminds.com/sites/default/files/presentation/file/2013/07STRER_W8.pdfSearch in Google Scholar

24. GeethaDevasena, M. S., G. Gopu, M. L. Valarmathi. Automated and Optimized Software Test Suite Generation Technique for Structural Testing. – International Journal of Software Engineering and Knowledge Engineering, Vol. 26, 2016, No 1, pp. 1-13.10.1142/S0218194016500017Search in Google Scholar

25. Runeson, P., M. Host. Guidelines for Conducting and Reporting Case Study Research in Software Engineering. – Empirical Software Engineering, Vol. 14, 2008, No 2, pp. 131-164.10.1007/s10664-008-9102-8Search in Google Scholar

26. Robinson, W. N., T. Deng, Z. Qi. Developer Behavior and Sentiment from Data Mining Open Source Repositories. – In: Proc. of 49th Hawaii International Conference on System Sciences (HICSS’16), Koloa, HI, 2016, pp. 3729-3738.10.1109/HICSS.2016.465Search in Google Scholar

27. Calefato, F., F. Lanubile. Affective Trust as a Predictor of Successful Collaboration in Distributed Software Projects. – In: Proc. of 1st International Workshop on Emotional Awareness in Software Engineering (SEmotion), IEEE/ACM, Austin, Texas, 2016, pp. 3-5.10.1145/2897000.2897001Search in Google Scholar

28. Muhammad, U., J. Börstler, K. Petersen. An Effort Estimation Taxonomy for Agile Software Development. – Int. J. Soft. Eng. Knowl. Eng., Vol. 27, 2017, No 4, 641.10.1142/S0218194017500243Search in Google Scholar

29. Borissova, D., I. Mustakerov, D. Korsemov. Business Intelligence System via Group Decision Making. – Cybernetics and Information Technologies, Vol. 16, 2016, No 3, pp. 219-229.10.1515/cait-2016-0045Search in Google Scholar

30. Sgurev, V., S. Drangajov. Risk Estimation and Stochastic Control of Innovation Processes. – Cybernetics and Information Technologies, Vol. 14, 2014, No 1, pp. 3-10.10.2478/cait-2014-0001Search in Google Scholar

31. Haugen, N. C. An Empirical Study of Using Planning Poker for User Story Estimation. – In: Proc. of Agile Conference, Minneapolis, MN, USA, 2006.Search in Google Scholar

32. Zahraoui, H., A. Mohammed, J. Idrissi. Adjusting Story Points Calculation in Scrum Effort & Time Estimation. – In: Proc. of 10th International Conference on Intelligent Systems: Theories and Applications (SITA’15), Rabat, Morocco, 2015, pp. 20-21.10.1109/SITA.2015.7358400Search in Google Scholar

33. Atlassian the Secrets Behind Story Points and Agile Estimation (Accessed on 30 November 2017). https://www.atlassian.com/agile/estimationSearch in Google Scholar

34. An Introduction to Concept-Level Sentiment Analysis. Temasek Laboratories. National University of Singapore (Accessed on 21 November 2017). http://www.sentic.net/intro-to-concept-level-sentiment-analysis.pdfSearch in Google Scholar