In this article, authors talk about the impact of pattern languages on the software design community over the past 20 years. They discuss patterns like Enterprise Integration Patterns, open source ESBs and patterns as a design tool.
In this article, authors discuss Morphosis, a multi-perspective measuring approach for architecture sustainability that includes evolution scenario analysis, architecture compliance checking, and tracking of architecture-level code metrics. These perspectives include change-prone requirements, technology choices, architecture erosion, and modularization best practices.
Software architects must create designs that can endure throughout software evolution. In this article, based on a research study the authors discuss the criteria that can help architects assess architectural design decisions’ sustainability. They describe the challenges to achieving sustainable decisions, criteria for such decisions, solutions they tried, and lessons learned.
This article provides an overview of tools and libraries available for embedded data analytics & statistics, both stand-alone software packages and programming languages with statistical capabilities.
In this article, authors discuss the role of big data and Hadoop in security analytics space and how to use MapReduce to process data for security analysis.
In this article, authors present an empirical study about the software architecture practices for managing non-functional requirements and decision making in software development processes. 2
In this article, author discusses the effectiveness of using design patterns, based on surveys conducted to indicate which patterns were considered useful under what circumstances. 12
This article describes the relationship between architecture and process of software development and how architecture can respond to functional requirements and developer habitability. 1
This article shares a simple technique used to address problems such as a system’s intended functionality but also qualities such as performance, reliability, portability, and availability.
In this article, author talks about the need for change in predictive modeling focus and compares four types of data mining:algorithm mining, landscape mining, decision mining and discussion mining.
In this article, a panel of experts discuss the important aspects of software analytics. Topics covered include what software analytics mean to developers, practitioners, and information analysts.
How should organizations leverage Cloud Computing approach to improve testing of software? In this article, author Forrest Shull spoke with James Whittaker from Google about cloud computing testing. 2