The Triangle Benchmarking concept is based on very few measurements and reasonably light data collection, compared to traditional benchmarking services. It can be easily applied within all kinds of organizations and especially well with Agile software development projects, as the old heavier benchmarking services were applicable and affordable only for very large corporations.
The complex software applications controlling critical safety domains, such as transportation, raise increasing concerns about the ability of software development, verification and validation processes to avoid the presence of software faults in such applications. An account of currently applied techniques and of open research challenges will be given.
We present a prototype of a technical framework to perform AFP (Automated Function Point Analysis) on software built on a canonical architecture (Java Enteprise with Entities modeled using JPA 2.0 – the Java Persistence Framework). The solution is integrated in Sonarqube. It allows for on-the-fly assessment of a new quality metric that we propose, called “Technical Delay”.
This presentation discusses software for the Automotive sector in order to point out further data that could be possibly collected by ISBSG.
It is important to properly define boundaries in modern, multi-layered applications. CPM statements can be analyzed from an Asset Management perspective.
The impact of different factors upon Function Point (FP) is explored, such as implementation of estimation/productivity models & de-localization of providers
However, especially in ICT industry majority of the projects overrun both the budget and schedule, and deliver less functionality than expected. In this presentation we take another look at the project management triangle, to learn how to get more outcomes with spending less money and time.
Based on the speaker’s experience negotiating and managing many outsourcing contracts using Function Points as a Key Performance Indicator, this presentation describes the pitfalls that can be experienced if one takes too simplistic a view of the meaning and use of Function Point data and suggests ways in which they may be avoided.
This paper evaluates the validity of using NESMA EFP as an alternative to IFPUG FP, in the early estimation of software development effort.
By analyzing historical data from the software industry, it is possible to improve the software productivity and quality. This is done through benchmarking and management decisions about software development practices.