The SEI has been actively engaged in defining and studying high maturity software engineering practices for several years. Levels 4 and 5 of the CMMI (Capability Maturity Model Integration) are considered high maturity and are predominantly characterized by quantitative improvement. This blog posting briefly discusses high maturity and highlights several recent works in the area of high maturity measurement and analysis, motivated in part by a recent comment on a Jan. 30 postasking about the latest research in this area. I've also included links where the published research can be accessed on the SEI website.
We use the SEI Blog to inform you about the latest work at the SEI, so this week I'm summarizing some video presentations recently posted to the SEI website from the SEI Technologies Forum. This virtual event held in late 2011 brought together participants from more than 50 countries to engage with SEI researchers on a sample of our latest work, including cloud computing, insider threat, Agile development, software architecture, security, measurement, process improvement, and acquisition dynamics. This post includes a description of all the video presentations from the first event, along with links where you can view the full presentations on the SEI website.
Over the past several years, the SEI has explored the use of Agile methods in DoD environments, focusing on both if and when they are suitable and how to use them most effectively when they are suitable. Our research has approached the topic of Agile methods both from an acquisition and a technical perspective. Stephany Bellomo described some of our experiences in previous blog posts What is Agile? and Building a Foundation for Agile. This post summarizes a project the SEI has undertaken to review and study Agile approaches, with the goal of developing guidance for their effective application in DoD environments.
Managing technical debt, which refers to the rework and degraded quality resulting from overly hasty delivery of software capabilities to users, is an increasingly critical aspect of producing cost-effective, timely, and high-quality software products. A delicate balance is needed between the desire to release new software capabilities rapidly to satisfy users and the desire to practice sound software engineering that reduces rework.
In our work with acquisitionprograms, we've often observed a major problem: requirements specifications that are incomplete, with many functional requirements missing. Whereas requirements specifications typically specify normal system behavior, they are often woefully incomplete when it comes to off-nominal behavior, which deals with abnormal events and situations the system must detect and how the system must react when it detects that these events have occurred or situations exist. Thus, although requirements typically specify how the system must behave under normal conditions, they often do not adequately specify how the system must behave if it cannot or should not behave as normally expected. This blog post examines requirements engineering for off-nominal behavior.
Through our work in cyber security, we have amassed millions of pieces of malicious software in a large malware database called the CERT Artifact Catalog. Analyzing this code manually for potential similarities and to identify malware provenance is a painstaking process. This blog post follows up our earlier post to explore how to create effective and efficient tools that analysis can use to identify malware.
After 47 weeks and 50 blog postings, the sands of time are quickly running out in 2011. Last week's blog posting summarized key 2011 SEI R&D accomplishments in our four major areas of software engineering and cyber security: innovating software for competitive advantage, securing the cyber infrastructure, accelerating assured software delivery and sustainment for the mission, and advancing disciplined methods for engineering software.This week's blog posting presents a preview of some upcoming blog postings you'll read about in these areas during 2012.
Blockchain technology was conceived a little over ten years ago. In that short time, it went from being the foundation for a relatively unknown alternative currency to being the "next big thing" in computing, with industries from banking to insurance...