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The Benefits of Software Metrics for Scrum Masters
/in agileThe use of functional size measurement and software metric data provide Scrum Masters with a more reliable indicator of their team’s performance and productivity. By comparison, Story Points may be useful for internal team coordination, but make it difficult to compare performance across different teams or against industry standards. This short report discusses how Scrum Masters benefit from using functional size and standardized metrics based on ISBSG data.
The Benefits of Software Metrics for Product Owners
/in agileIn agile software development, the Product Owner is often caught between the pressure for rapid feature rollout and the need for realistic, data-backed forecasting. Relying on “gut feelings” or inconsistent team-specific metrics, such as story points, makes it nearly impossible to communicate value or manage stakeholder expectations . By adopting standardized functional size measurement (FSM), e.g., Nesma, IFPUG or COSMIC function points, in tandem with ISBSG benchmark data, Product Owners can finally speak a universal language of scope and performance.
Impact of AI on Productivity and Delivery Speed
/in productivityThe software development landscape has recently experienced rapid changes driven by the widespread adoption of artificial intelligence (AI) tools. While AI can improve the speed and efficiency of development teams, it also has the potential to lower code quality. This short report uses the ISBSG Repository to determine the impact of AI on key metrics. Comparisons between pre-AI and post-AI data indicate whether the adoption of AI tools has led to positive improvements in the productivity and delivery speed of software projects.Â
Submit Data to ISBSG
/in benchmarkingISBSG’s mission is: to support organizations and help them to improve the estimation, planning, control and management of IT software projects and/or maintenance and support contracts. ISBSG achieves its mission through the collection of data from software development, enhancement, and maintenance projects. This data is submitted to ISBSG by software metrics organizations worldwide. This short report explains how you can assist ISBSG in its support of the software industry. Learn how simple it is to submit your project data and to receive a free benchmark report, in appreciation for your submission.Â
Move High-Code to Low-Code
/in benchmarkingThis short report examines a company’s business case to change the platform of their main system, from high-code to low-code. Current maintenance activities were considered, along with ongoing enhancements to the system. Productivity benchmarks from ISBSG Data Repositories were obtained for low-code projects. This enabled the calculation of potential productivity and cost gains from moving from high to low-code environments. Financial metrics, such as Payback Period, Net Present Value and Internal Rate of Return are also calculated to support the company’s business case.
Price per FP Contract
/in benchmarkingA consultancy firm assisted an IT Services provider to win a large, European government Price-per-FP contract using ISBSG data. The data, for more than 11000 software projects, provided valuable benchmarks that were used to compare productivity and cost. This enabled the IT Services provider to produce a competitive price-per-FP offer that beat 20 rival bidders. Learn about the strategic value of ISBSG benchmarks in fixed-price, functional sizing contracts.
Benchmarking Agile Development Teams
/in benchmarkingA telecommunications provider faced challenges in assessing the performance of its agile development teams, working on Java-based projects. The company lacked a standardized approach to measure key performance indicators. It was unable to determine how the team compared to industry standards. A lack of data-driven insights prevented the company from identifying areas of improvement. The benchmarking process used to evaluate the agile development teams relied upon ISBSG data. It involved a structured, data-driven approach to measure productivity, delivery speed, cost efficiency, and process quality. The process was designed to compare the company’s internal performance metrics against ISBSG’s industry benchmarks to identify gaps and opportunities for improvement.
Estimation of a Redevelopment Project
/in estimationAn international, pharmaceutical company had to redevelop functionality in a critical system that was integrated with numerous other applications, including clinical data management processes. To address this, the company initiated two options: Identify a replacement package with similar functionality OR redevelop the functionality themselves.
This short report focuses on the estimation process for the redevelopment option, using ISBSG data to deliver a robust, data-driven estimate. It highlights the value provided by this approach.
Software Complexity for Estimation
/in estimationAn empirical study, using ISBSG data, challenges the long-held belief that Unadjusted Function Points (UFP) provide more accurate effort estimates for complex projects than simplified measures like Simple Function Points (SFP).
IFPUG SNAP
/in sizingEffectively identifying and understanding Non-Functional Requirements (NFRs) is the current frontier in software projects. The models and standards that define them evolve, closely tied to technological advancements. This is a challenge in the field of software measurement. Today, IFPUG SNAP is the first ISO/IEEE standard for sizing these dimensions of software. Now is the time to start collecting historical data for these new sizing units — and a new ISBSG Data Collection Questionnaire (DCQ) is ready to support this effort.
Collect Analyse and Verify
/in project controlAccurate problem setting is the foundation of successful projects, but it can be compromised if information is not rigorously collected and validated. The BABOK® Guide (Business Analysis Body of Knowledge) of the International Institute of Business Analysis—defines Elicitation and Collaboration as a key knowledge areas. They are the foundation for defining project requirements. This talk analyzes elicitation as a cyclical process that supports the quality of problem setting and improves requirements traceability. The five key elicitation activities according to BABOK® are illustrated, along with the applicable techniques for the functional collection of information.
Benchmarking Outsourcing Application Development Contracts
/in benchmarkingThe effective benchmarking of outsourcing application development contracts is critical to optimize performance, cost, and quality. This presentation explores the use of ISBSG data to obtain robust benchmarks for outsourced software development projects. We discuss: selecting relevant ISBSG data, aligning benchmarks with project goals, and addressing challenges in comparing diverse outsourcing contracts. Attendees will gain insights on vendor performance, inefficiencies, and competitive pricing. Real case studies illustrate the use of ISBSG data to optimize outsourcing agreements.
Functional Measurement of Development
/in estimationThis presentation focuses on measuring content development and publishing features to provide guidelines for sizing CMS development activities that add functionality to the CMS system.
Benchmark Act Improve
/in benchmarkingOrganisations 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.
Quantitative Dependability
/in project controlTechnological 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.