Occasionally this blog will highlight different posts from the SEI blogosphere. Today we are highlighting a recent post by Will Dormann, a senior member of the technical staff in the SEI's CERT Division, from the CERT/CC Blog. In this post, Dormann describes how to modify the CERT Failure Observation Engine (FOE),when he encounters apps that "don't play well" with the FOE. The FOE is a software testing tool that finds defects in applications running on the Windows platform.
As the pace of software delivery increases, organizations need guidance on how to deliver high-quality software rapidly, while simultaneously meeting demands related to time-to-market, cost, productivity, and quality. In practice, demands for adding new features or fixing defects often take priority. However, when software developers are guided solely by project management measures, such as progress on requirements and defect counts, they ignore the impact of architectural dependencies, which can impede the progress of a project if not properly managed. In previous posts on this blog, my colleague Ipek Ozkaya and I have focused on architectural technical debt, which refers to the rework and degraded quality resulting from overly hasty delivery of software capabilities to users. This blog post describes a first step towards an approach we developed that aims to use qualitative architectural measures to better inform quantitative code quality metrics.
Safety-critical avionics, aerospace, medical, and automotive systems are becoming increasingly reliant on software. Malfunctions in these systems can have significant consequences including mission failure and loss of life. So, they must be designed, verified, and validated carefully to ensure that they comply with system specifications and requirements and are error free. In the automotive domain, for example, cars contain many electronic control units (ECU)--today's standard vehicle can contain up to 30 ECUs--that communicate to control systems such as airbag deployment, anti-lock brakes, and power steering.
Government agencies, including the departments of Defense, Veteran Affairs, and Treasury, are being asked by their government program office to adopt Agile methods. These are organizations that have traditionally utilized a "waterfall" life cycle model (as epitomized by the engineering "V" charts). Programming teams in these organizations are accustomed to being managed via a series of document-centric technical reviews that focus on the evolution of the artifacts that describe the requirements and design of the system rather than its evolving implementation, as is more common with Agile methods. Due to these changes, many struggle to adopt Agile practices. For example, acquisition staff often wonder how to fit Agile measurement practices into their progress tracking systems.
To deliver enhanced integrated warfighting capability at lower cost across the enterprise and over the lifecycle, the Department of Defense (DoD) must move away from stove-piped solutions and towards a limited number of technical reference frameworks based on reusable hardware and software components and services. There have been previous efforts in this direction, but in an era of sequestration and austerity, the DoD has reinvigorated its efforts to identify effective methods of creating more affordable acquisition choices and reducing the cycle time for initial acquisition and new technology insertion. This blog posting is part of an ongoing series on how acquisition professionals and system integrators can apply Open Systems Architecture (OSA)practices to decompose large monolithic business and technical designs into manageable, capability-oriented frameworks that can integrate innovation more rapidly and lower total ownership costs. The focus of this posting is on the evolution of DoD combat systems from ad hoc stovepipes to more modular and layered architectures.
The verification and validation of requirements are a critical part of systems and software engineering. The importance of verification and validation (especially testing) is a major reason that the traditional waterfall development cycle underwent a minor modification to create the V modelthat links early development activities to their corresponding later testing activities. This blog post introduces three variants on the V model of system or software development that make it more useful to testers, quality engineers, and other stakeholders interested in the use of testing as a verification and validation method.
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...