My writings
I write original papers in peer-reviewed journals and also share my point of view articles in popular portals.
Improving processes by aligning capability maturity model integration and the Scaled Agile Framework®
Global Business and Organizational Excellence
Journal paper
Organizations can achieve several synergies and benefits by using CMMI v2.0 in a SAFe environment. Whereas CMMI provides guidance on what process improvement teams need to do with respect to each of the model's practice areas, SAFe provides them with information on how to implement those practices.
A probabilistic model for predicting service level adherence of application support projects
International Journal of Productivity and Quality Management
Journal paper
This paper discusses an approach to develop a prediction model using process factors impacting service level adherence. These factors are derived from the processes and sub-processes having a logical relationship with the outcome.
Process performance model for predicting Delivered Defect Density in a software scrum project
IOSR Journal of Computer Engineering
Journal paper
In this paper, we present a study where a prediction model was developed for use in Agile projects for systematic in-process monitoring and decision-making. The purpose of this paper is to propose a predictive model as a driver for continuous improvement of Delivered Defect Density in the context of a Scrum project.
Predictability with agility: Achieving excellence in software delivery through SPEED
Global Business and Organizational Excellence
Journal paper
SPEED (for strategic, process‐oriented, effective, efficient, data‐oriented) is the application of quantitative management practices in agile software development which resulted in a number of benefits, including improved visibility throughout the various development stages, in‐process control, and better predictability of outcomes for a Financial services organization.
Quality 4.0 – road to excellence in the digital world
KPMG
Point of view article
‘Quality 4.0’ is a state of transformation that references the future of organizational excellence and quality within the context of Industry 4.0. It combines the capabilities of machine learning, artificial intelligence, cloud computing, and big data with conventional systems of quality management to drive continuous process improvement and improve overall business performance.
High Maturity Estimation Model For Software Testing Projects - Based On Regression And Monte Carlo Simulation Techniques
International Colloquium of High Maturity Best Practices
Research report
This paper proposes a method of estimation for Testing projects using CMMI high-maturity practices, based on Regression Analysis and Monte Carlo simulation. The proposed estimation model can also be used by the Testing Project for continuous Quantitative Project Management. The prerequisites and the factors to be considered for a Project to use and maintain this model are also explained in this paper.
Business Success through Structured Competency Management
KPMG
Research report
This research report seeks insights into how People Capability Maturity Model (PCMM) based competency assessment and competency development activities are implemented. It also analyses the competency-based practices in various Organizations. The responses were collected from different types of Organizations such as software, product development, and captive centers.
The rise of business agility
KPMG
Point of view article
The post-pandemic realities of virtual/hybrid ways of working, uncertainty in demand, changing consumer behavior, and cost pressures imply that traditional delivery models may not be suited to meet the flexibility and speed required in the digital world.
Humanizing Agile
DZone
Point of view article
Many Agile implementations in organizations suffer from this issue: humanity is taken out of Agile. In this article, learn how to make Agile more humane.
Are Our Decisions in Agile Free of Cognitive Biases?
DZone
Point of view article
Being a people-centric model, Agile is subject to many cognitive biases. This article explores some of the cognitive biases that are common in an Agile world.
Analytics Improves Agile Effectiveness at the Enterprise Level
DZone
Point of view article
To uncover insights into underlying patterns, organizations need to employ more sophisticated data analytics techniques and tools.