On June 9th, CAST hosted the event, How to Control Software Risk and Cost in Digital Transformation, in Madrid with CISQ and Dr. Richard Soley, CEO and Chairman of the Object Management Group.
Earlier this month, CAST sponsored IWSM Mensura 2016 in Berlin, hosting software measurement professionals and researchers from all over the world to discuss maximizing the value of data. With digitalization trends, there is more data than ever before in software applications and systems, and that data is expected to drive business value. Software measurement is the key to making this data actionable.
There is more data to manage today than ever before, and this is creating an increasingly pounding headache for business executives that no dose of aspirin will soon relieve. With so many different forms of data and ways of storing that information within the organization, new data management methodologies are needed to make sense of this mind-numbing flood also known as Big Data.
Enter NoSQL. Differing from its much older and experienced brother – SQL – NoSQL has come onto the scene as the “new” and “hip” database paradigm (much like we talk about the Millennial generation). Also known as “Not Only SQL”, NoSQL is a flexible approach to data management and design that is useful for very large sets of distributed, unstructured data.
CAST Italy users’ group conference
On June 22nd, CAST held its annual User Group in Italy, hosting software measurement professionals from major companies in the Banking, Insurance, Telco, Public Sector and IT Consulting industries for a four-hour working session. Attendees walked away from the event with a better understanding of best practices in establishing objective software measurement standards and creating better visibility in to application portfolios.
Among CAST Application Intelligence Platform presentations and updates regarding the new CISQ RFC for Automated Enhanced Points and its relationship with the AFP OMG standard, attendees also discussed software measurement in Agile and DevOps environments.
A recurring issue for IT and business management is whether it’s best to build an in-house team or outsource the development of software applications. Some of the biggest factors when contemplating application outsourcing are cost, security and loss of control.
Business agility remains a top priority, but this puts added pressure on teams to move fast, and can sometimes lead to rushed projects and a lack of attention to detail. When in-house teams are under tight deadline restrictions, corners can get cut. In fact, most in the developer community agree that outsourcing is the best way to go for timely and on-budget development projects.
Today, CAST is meeting hundreds of Enterprise Architect aficionados, gurus, practitioners and professionals in National Harbor at the Gartner EA Summit. When glancing at the agenda, it is evident that EA has become omnipresent and is interacting either directly or indirectly with 100% of hot IT challenges such as Digital Transformation, Cloud Readiness, Internet of Things, Cyber Security and Innovation – the topics that are keeping many executives up at night.
The intent of this post is to share “one” view of the EA journey and provide some personal insight into software risk management and what I think will be the upcoming challenges in our favorite discipline.
On April 6th, CAST held a user group meeting on the topic of function point analysis and software productivity measurement. The meeting gathered more than 20 software measurement professionals from major companies in the banking, IT consulting, telecom, aviation and public sectors for a two-hour working session to discuss the benefits of function point analysis testing.
The event featured presentations including:
An IBM case study on how they worked with CAST to integrate and secure an Automated Function Point (AFP) approach with a big player in the aeronautic sector within TMA Systems
Functional sizing case study
Updates on the new CISQ standards for Automated Function Points
The importance of internal and external benchmarking