Functional Measurement of Development
This presentation focuses on measuring content development and publishing features to provide guidelines for sizing CMS development activities that add functionality to the CMS system.
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This presentation focuses on measuring content development and publishing features to provide guidelines for sizing CMS development activities that add functionality to the CMS system.
Organisations spend much on the development and maintenance of software applications. IT managers often don’t know if productivity, cost, speed of delivery and quality of the deliverables are competitive. When outsourcing, suppliers are often chosen based on hourly rates and not on capability. Benchmarking highlights how development & maintenance organizations perform and where they can improve. This presentation explores benchmarking and how it can be performed using the ISBSG repository.
Technological advances in modern Train Control Systems (TCS) improve their dependability, safety, availability, and capacity. However, this raises concerns about the effects that uncertainty in critical TCS parameters (e.g. position and speed) have on dependability-related attributes. This can be examined through quantitative measures, stochastic modeling and evaluation of TCS. In this paper, we illustrate the results of a systematic literature review on quantitative evaluation of dependability-related attributes of TCSs under uncertainty on vital parameters.
Many organizations provide mobile applications (i.e. apps) for use on smart phones and tablets. Apps are an interface between a company and its customers, providing functionality and support. Hence, companies must be able to quickly add new functionality to apps. This short report compares key metrics for enahancements to Android and IOS apps to determine if there is a difference in their development platforms.
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.
Code generation through Large Language Models and the adoption of Low-Code/No-Code platforms have transformed traditional software development. A reassessment of conventional benchmarking methodologies is required. Updated productivity models that accurately reflect these contexts are required. Through benchmarking standards and 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 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.
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.
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.
This presentation shows that the productivities for development and enhancement projects should be analysed separately. A rationale, with examples extracted from the ISBSG Development and Enhancement repository is provided.
