In Department of Defense (DoD) programs, cooperation among software and system components is critical. A system of systems (SoS) is used to accomplish a number of missions where cooperation among individual systems is critical to providing (new) capabilities that the systems could not provide. SoS capabilities are a major driver in the architecture of the SoS and selection of constituent systems for the SoS. There are additional critical drivers, however, that must be accounted for in the architecture that significantly impact the behavior of the SoS capabilities, as well as the development and sustainment of the SoS and its constituent systems' architectures. These additional drivers are the quality attributes, such as performance, availability, scalability, security, usability, testability, safety, training, reusability, interoperability, and maintainability. This blog post, the first in a series, introduces the Mission Thread Workshop (MTW), and describes the role that it plays in assisting SoS programs to elicit and refine end-to-end SoS mission threads augmented with quality attribute considerations.
One of the most important and widely discussed trends within the software testing community is shift left testing, which simply means beginning testing as early as practical in the lifecycle. What is less widely known, both inside and outside the testing community, is that testers can employ four fundamentally-different approaches to shift testing to the left. Unfortunately, different people commonly use the generic term shift left to mean different approaches, which can lead to serious misunderstandings. This blog post explains the importance of shift left testing and defines each of these four approaches using variants of the classic V model to illustrate them.
This blog post was co-authored by Will Klieber.
Each software application installed on a mobile smartphone, whether a new app or an update, can introduce new, unintentional vulnerabilities or malicious code. These problems can lead to security challenges for organizations whose staff uses mobile phones for work. In April 2014, we published a blog post highlighting DidFail (Droid Intent Data Flow Analysis for Information Leakage), which is a static analysis tool for Android app sets that addresses data privacy and security issues faced by both individual smartphone users and organizations. This post highlights enhancements made to DidFail in late 2014 and an enterprise-level approach for using the tool.
As recent news headlines about Shellshock, Sony, Anthem, and Target have demonstrated, software vulnerabilities are on the rise. The U.S. General Accounting Office in 2013 reported that "operational vulnerabilities have increased 780 percent over the past six years." These vulnerabilities can be hard and expensive to eradicate, especially if introduced during the design phase. One issue is that design defects exist at a deeper architectural level and thus can be hard to find and address. Although coding-related vulnerabilities are preventable and detectable, until recently scant attention has been paid to vulnerabilities arising from requirements and design defects.
Mismatched assumptions about hardware, software, and their interactions often result in system problems detected too late in the development lifecycle, which is an expensive and potentially dangerous situation for developers and users of mission- and safety-critical technologies. To address this problem, the Society of Automotive Engineers (SAE) released the aerospace standard AS5506, named the Architecture Analysis & Design Language (AADL). The AADL standard,defines a modeling notation based on a textual and graphic representation used by development organizations to conduct lightweight, rigorous--yet comparatively inexpensive--analyses of critical real-time factors, such as performance, dependability, security, and data integrity.