1. Evaluating the Impact of DevOps Practice in Sri Lankan Software Development Organizations
Pulasthi Perera
Dr. Indika Perera
Madhushi Bandara

2. Agenda Introduction Background of the Study Objective
Literature Review
Research Model
Methodology
Demographic Analysis
Research Outcome
Barriers and Challenges
Conclusion
Q&A

3. Introduction
DevOps is a mix of patterns intended to improve collaboration between development and operations. DevOps addresses shared goals and incentives as well as shared processes and tools
DevOps

4. Background of the study

5. Objective of the Study
To study the organizations that practice DevOps and evaluate how the process contributes to growth of various identified quality matrices

6. Summary of Literature Review
Definition, Goals of DevOps (M. Huteremann,2012)
Advantages and Disadvantages of DevOps (Farroha & Farroha, 2014)
Best Practices to implement DevOps (Farroha & Farroha, 2014)
Continuous Deployment - Challenges and Mitigation (Claps, Svensson, & Aurum, 2015)
CAMS Model (Humble, 2010) Culture, Automation, Measurement, Sharing
SNAC Model (Hussaini, 2014) Stakeholders, Needs, Alterable, Constraint
A Framework for Managing Mission Needs, Compliance and Trust in the DevOps Environment (Farroha & Farroha, 2014)
Building a DevOps Culture (Walls, M. ,2013)
Measuring Agility (Henderson-Sellers& Qumer, 2006)
Phoenix Project (Kim, G., Behr, K., & Spafford, G. ,2013)
DevOps for Dummies (Sharma, S., & Coyne, B. ,2015)
Building a DevOps Culture (Walls, M,2013).

7. Impact to Success of Software Development Continuous Deployment
Research Model
Product Quality
Quality
Development Process
Responsiveness
Responsiveness to Business Needs
Agility 
Impact to Success of Software Development
CAMS Framework
Continuous Deployment
Implement DevOps
Hypothesis1
Hypothesis 2
Hypothesis 3
New Technologies
Hypothesis 2: Implementation of DevOps would impact to responsiveness to business needs
Hypothesis 1: Implementation of DevOps would impact to Quality of the Software
Hypothesis 3: Implementation of DevOps would impact to Agility to New Technologies

8. DevOps Experts Knowledge
Methodology
Literature Review
DevOps Experts Knowledge
Research Design
Pilot Survey
Interviews
Questionnaires
Data Analysis

9. Distribution of Participant’s Industry Experience in Years
Demographic Analysis
Distribution of Participant’s Industry Experience in Years

10. Distribution of Participant’s DevOps Experience in Years

11. Distribution of Different Development Methodologies Used

12. Research Outcomes
Improvement of = (C) (A) (M) Software Quality (S)+0.113(CD)
Improvement of = (C) (A) (M) Responsiveness to (S) Business needs
Improvement in Agility = (C) (A) + to New Technologies (M) (S) (CD)
(C-Culture, A-Automation, M- Measurement, S-Sharing, CD- Continuous Deployment)

13. Barriers and Challenges
Lack of DevOps expertise
Resistance to change
High initial cost to introduce DevOps
Efficiency of employees can be low during initial phase
Skill Gap
Culture Gap
Accountability is questionable

14. Recommendations Trainings, Tech talks and Awareness session
Knowledge transfer sessions and deputy programs
Vision and mission align with DevOps initiation
Mangers need to monitor and identify barriers
Awareness about responsibilities
KPI and Performance appraisal
Professional bodies to conduct awareness session

15. Conclusion and Future Research Areas
Quality, Responsiveness to business needs and Agility to new technologies have strong linear relationship with DevOps implementation.
Culture, Automation, Measurement ,Sharing are important factors
Companies and Professional bodies need to organize more trainings and awareness sessions
Recommend for future research
With large set of data
Explore the need for specialized tool support through automation.

16. Special Thanks To

17. Thank You!

18. Q&A