Attend & Earn professional development credits
Attend the 3-hour ISBSG Conference and earn the following professional development credits:
- 3 PDUs (Professional Development Units), required to maintain PMI (Project Management Institute) certification
- 3 CPDs (Continuing Professional Development points), to also maintain certifications
- 3 CEPAS SCH174 credits, to maintain certification as a Measurement Specialist
Free Registration
As part of ISBSG’s ongoing commitment to serving the IT community, registration for the conference is FREE. You will be sent a Zoom link to attend.
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Conference Program
Time: 13:30 CET
Development and Enhancement projects: Same productivity or not?
An oversimplified comment that is typically heard about estimates is – “…productivity is the same for development and enhancement projects”. This presentation will show that the productivities for development and enhancement projects should be analysed separately. A rationale, with examples extracted from the ISBSG Development and Enhancement repository, will be provided.
by Luigi Buglione
Luigi is a Measurement & Process Improvement Specialist at DXC Technology in Rome, Italy. He is currently the IFPUG Director for Sizing & International Standard and the President of GUFPI-ISMA (the Italian Software Metrics Association). Luigi is the Vice-President of ISBSG. See LinkedIn profile
Time: 14:05 CET
The digital intangible assets economic evaluation using ICT measurement standards
This presentation explores accounting reporting methods that use technical and economic measurements of intangible assets. By leveraging measurement standards such as FPA (Function Point Analysis), SNAP (Software Non-functional Assessment Process), and project management methodologies, a comprehensive understanding of the fair value of digital assets can be achieved.
Examples will illustrate the measurement of Information and Communication Technology (ICT) assets within finance, transfer pricing, and judicial contexts.
The presentation will delve into the use of blockchain technology used to safeguard digital secrets while simultaneously enforcing Intellectual Property (IP)constraints. The measurement of IP and digital assets within the context of Artificial Intelligence will also be examined, offering insights into the evolving landscape of asset valuation in technologically advanced domains
By integrating technical methodologies with economic valuation approaches, organizations can gain a more nuanced understanding of the worth of their intangible assets, leading to better decision-making processes and improved management of digital resources.
by Michele Canalini
Michele Canalini has a degrees in Economics and an MBA. He has experience as IT Functional Analyst and Project Manager, 15+ years experience as ICT Procurement Officer, Court of Rome ICT Consultant, Independent ICT evaluator and consultant Owner of the V-Learn eLearning platform. Owner of the EVIA method (Estimate and Evaluate Intangible Assets) www.eviaproject.info. See LinkedIn profile
Time: 14:40 CET
Effort Estimation in Software Development Projects Using Supervised Machine Learning: A Comparative Analysis with ISBSG Data
Effort estimation in software development projects is critical for the effective planning of resources, costs and execution times. However, obtaining accurate estimations can be challenging. Inaccuracies may result in cost overruns or the failure to successfully complete a project. To address this challenge, different strategies have been developed. Machine learning models have demonstrated effectiveness in capturing patterns from historical software project data, creating estimation models, thereby improving accuracy.
This presentation analyses a machine learning model, that uses ISBSG Data for effort estimation. It accuracy is discussed along with the future. Such machine learning models support the development of predictive tools tailored to individual organizational contexts.
by Jesús Alberto Getial Barragán and Silvio Ricardo Timarán Pereira
Jesús has a MSc. in Systems and Computing Engineering. He is a Senior Software Engineer and Electronics Engineer. See LinkedIn profile
Break: 15:10 – 15:20 CET
Time: 15:20 CET
The Intelligent Metrics Expert: How AI is Revolutionizing Software Measurement Practices
Software measurement is undergoing a significant transformation, driven by the rapid advancements in Artificial Intelligence (AI). This presentation delves into the tangible ways AI is revolutionizing the core responsibilities of these software metrics professionals, enabling them to achieve new levels of accuracy, efficiency, and strategic impact.
We will explore three key pillars where AI is proving to be an invaluable asset:
- enhancing the quality and clarity of software requirements.
- enhancing the precision of software cost and effort estimation using functional size standards
- automating and optimizing the generation of comprehensive test cases.
This presentation will showcase practical applications and real-world examples of how AI-powered tools are being integrated into the daily workflows of software metrics specialists. Attendees will gain a clear understanding of the benefits, challenges, and future potential of this powerful synergy. They will gain actionable insights into how they can leverage AI to elevate their expertise and drive greater success in their software measurement endeavours.
by Gonzalo Scanferla
As a Productivity Service Manager at Leda MC, and passionate cheesemaker, Gonzalo uses structure and creativity to turn complexity into clarity—whether in enterprise software systems or artisanal production. He has over 10 years of experience in: development, implementation, testing, and product management, spanning ERP systems, CAD software, and full-stack web development. He has led cross-functional teams focused on process optimization and value delivery through data-driven decision-making. Gonzalo is a certified Scrum Product Owner and Scrum Master. He also has a background in Python programming, with a growing focus on AI-powered tools. See LinkedIn profile
Time: 15:55 CET
Benchmarking Software Productivity and Quality in the Era of Large Language Model Code Generation and Low-Code/No-Code Platforms
The rapid proliferation of code generation through Large Language Models (LLMs) and the widespread adoption of Low-Code/No-Code (LCNC) platforms have fundamentally transformed traditional software development paradigms. These advancements necessitate a critical reassessment of conventional benchmarking methodologies, which have historically relied on well-established software development cycles and productivity metrics derived from extensive historical datasets.
Traditional productivity estimates may no longer be valid in environments where significant portions of code are either automatically generated by intelligent models or configured through visual, drag-and-drop interfaces. Consequently, there is an urgent need to develop updated productivity models that accurately reflect the realities of software creation in these emerging contexts. Similarly, the evaluation of software quality must evolve to keep pace with these technological shifts.
By developing new benchmarking standards and quality metrics that reflect these innovative development modalities, organizations can better understand the true impact of these technologies on software delivery efficiency and product excellence. This evolution in evaluation practices will be critical for maximizing the benefits of AI and LCNC tools while ensuring robust, maintainable, and high-quality software systems.
by Srinivasa Gopal
Srinivasa Gopal has a Mechanical Engineering degree from the Indian Institute of Technology, a MS by Research degree in Industrial Systems Engineering from the University of Regina, Canada, and a MS by Research degree in Information Technology from the International Institute of Information Technology, Bengaluru. He was awarded the Governor General of Canada’s Academic Medal (Gold). Srinivasa Gopal has worked for leading multinational companies such as Infosys consultants, Emirates Airlines, Unisys Corporation, LandMark Gulf Group, and GAVS Info Services. He has published in the India Software Engineering Conference, the International Conference on Computers and Industrial Engineering, Florida, and the International Journal of Advanced Manufacturing Technology. He is a co-founders of the Ramanujan Society for Academic Research and Promotion of Science, a non-profit society for academic research and science. See LinkedIn profile
Time: 16:30 CET
Agile Planning and Monitoring with Kanban and Measurement
Determining IT workforce requirements is an important part of software development planning. To achieve this, a work model supported by a parametric, repeatable, and auditable functional size measurement method, should be used. This enables organizations to plan and monitor development in a simple and agile manner, especially when adopting frameworks like Kanban or Scrum. Having a measurement-based historical database populated with trustworthy data is crucial for effective planning and monitoring of software development in organizations striving for software development maturity.
by Drs. Carlos Simões & Thiago Silva da Conceição
Thiago Silva holds a Masters degree in Innovation and Digital Transformation in Business. He is pursing a postgraduate degree in AI Engineering. He has over 10 years experience connecting IT and business through his expertise in emerging technologies such as AI, Cloud, Quantum Computing. As an IFPUG Committee member, he contributes to global software measurement initiatives. See LinkedIn profile
Dr. Carlos Simões has over 30 years of experience in IT and holds a Ph.D. from UNIRIO, Brazil, where his thesis on IT workforce outsourcing won national recognition. He also holds a Master’s degree in Systems Engineering from COPPE/UFRJ. Carlos is a consultant in PMO, agile methods, metrics, and project management for leading Brazilian companies. See LinkedIn profile