Welcome!

Big Data Journal Authors: Elizabeth White, Yeshim Deniz, Liz McMillan, Pat Romanski, Roger Strukhoff

News Feed Item

CAST Research Finds Java Frameworks Strongly Influence Security, Reliability

Today CAST (Euronext: CAS) released the initial results from research on the use of Java in its CRASH (CAST Research on Application Software Health) series, revealing which of the enterprise Java frameworks delivers the most secure and reliable applications.

With this information, C-suite executives can now better understand how choices made in the IT department can impact the security and reliability of mission-critical enterprise applications. The data shows clearly that seemingly arcane decisions, such as the selection of a programming framework, can significantly increase or decrease the likelihood of a system crash. In today’s online business environment, when zero downtime is a necessity, the CRASH report helps inform enterprise technology selections with relevant data that will enhance the end result of those decisions.

“CIOs can no longer afford to be in the dark about their IT team’s choice of programming language and tools, because those decisions have a material impact on the business,” says Jay Sapiddi, vice president of CAST Research Labs. “With data from this CRASH study, CIOs can now have detailed conversations with their application development departments about the security and reliability of the specific framework they are using to build enterprise applications. Likewise, IT leaders should double check their choice of framework, how they mix languages, and how they enforce architectural integrity. Frameworks boost developer productivity, but they can also heighten risk and reduce quality.”

After conducting big data analysis of 496 applications with 152 million lines of code submitted by 88 organizations across six global industries, CAST researchers uncovered myriad business insights about the most popular open source Java frameworks: Struts, JEE, Hibernate, and Spring. The full research with detailed data analysis results will be presented in a public webinar on Jan. 29, 2013. Some of the top-level findings include:

  • Hibernate has the highest quality scores.
  • Applications built with Struts have the lowest quality scores.
  • Applications that did not use any framework had a huge variance in quality, which indicates that frameworks do in fact help develop applications of predictable quality.

One common challenge for developers with framework usage is configuring them correctly. CAST data shows that a large majority of applications analyzed had some level of misconfiguration, indicating the need for better training or to simplify the use of frameworks. The research also found that application quality is affected when organizations mix multiple programming languages in a single system. When this happens:

  • Applications built in pure JEE, with no frameworks or multi-lingual mingling, had the highest quality scores.
  • Mixing Java with C or C++ lowers quality scores.
  • Mixing Java with COBOL, Java-DB, and Microsoft .NET delivered higher quality scores.

These results were arrived at by analyzing data in CAST’s Appmarq database, the world’s largest repository of static analysis data of business applications. The Appmarq database includes over 544 million lines of source code culled from over 1,134 applications, which were provided by leading global companies in financial services, insurance, telecom, technology, government, manufacturing, energy, utilities, retail, and wholesale.

The complete CRASH Special Report and the detailed data analysis will be discussed in a live webinar on Tuesday, Jan. 29, 2013 from 11a.m. to 12p.m. EST. For more information on CAST, CAST Research Labs, the CRASH study, or Appmarq, visit CAST.

About CAST

CAST is a pioneer and world leader in software analysis and measurement, with unique technology resulting from more than $100 million in R&D investment. CAST introduces fact-based transparency into application development and sourcing to transform it into a management discipline. More than 250 companies across all industry sectors and geographies rely on CAST to prevent business disruption while reducing hard IT costs. CAST is an integral part of software delivery and maintenance for the world's leading IT service providers. Founded in 1990, CAST is listed on NYSE-Euronext (Euronext: CAS) and serves IT-intensive enterprises worldwide with a network of offices in North America, Europe, and India.

For more information about CAST:

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories from Big Data Journal
The cloud provides an easy onramp to building and deploying Big Data solutions. Transitioning from initial deployment to large-scale, highly performant operations may not be as easy. In his session at 15th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, will discuss the benefits, weaknesses, and performance characteristics of public and bare metal cloud deployments that can help you make the right decisions.
Cisco on Wedesday announced its intent to acquire privately held Metacloud. Based in Pasadena, Calif., Metacloud deploys and operates private clouds for global organizations with a unique OpenStack-as-a-Service model that delivers and remotely operates production-ready private clouds in a customer's data center. Metacloud's OpenStack-based cloud platform will accelerate Cisco's strategy to build the world's largest global Intercloud, a network of clouds, together with key partners to address cu...
When one expects instantaneous response from video generated on the internet, lots of invisible problems have to be overcome. In his session at 6th Big Data Expo®, Tom Paquin, EVP and Chief Technology Officer at OnLive, to discuss how to overcome these problems. A Silicon Valley veteran, Tom Paquin provides vision, expertise and leadership to the technology research and development effort at OnLive as EVP and Chief Technology Officer. With more than 20 years of management experience at lead...
Amazon, Google and Facebook are household names in part because of their mastery of Big Data. But what about organizations without billions of dollars to spend on Big Data tools - how can they extract value from their data? Ion Stoica is co-founder and CEO of Databricks, a company working to revolutionize Big Data analysis through the Apache Spark platform. He also serves as a professor of computer science at the University of California, Berkeley. Ion previously co-founded Conviva to commercial...
Due of the rise of Hadoop, many enterprises are now deploying their first small clusters of 10 to 20 servers. At this small scale, the complexity of operating the cluster looks and feels like general data center servers. It is not until the clusters scale, as they inevitably do, when the pain caused by the exponential complexity becomes apparent. We've seen this problem occur time and time again.
Where historically app development would require developers to manage device functionality, application environment and application logic, today new platforms are emerging that are IoT focused and arm developers with cloud based connectivity and communications, development, monitoring, management and analytics tools. In her session at Internet of @ThingsExpo, Seema Jethani, Director of Product Management at Basho Technologies, will explore how to rapidly prototype using IoT cloud platforms and c...
BlueData aims to “democratize Big Data” with its launch of EPIC Enterprise, which it calls “the industry’s first Big Data software to enable enterprises to create a self-service cloud experience on premise.” This self-service private cloud allows enterprises to create 100-node Hadoop and Spark clusters in less than 10 minutes. The company is also offering a Community Edition via free download. We had a few questions for BlueData CEO Kumar Sreekanti about all this, and here's what he had to s...
Labor market analytics firm Wanted Analytics recently assessed the market for technology professionals and found that demand for people with proficient levels of Hadoop expertise had skyrocketed by around 33% since last year – it is true, Hadoop is hard technology to master and the labor market is not exactly flooded with an over-abundance of skilled practitioners. Hadoop has been called a foundational technology, rather than ‘just’ a database by some commentators – this almost pushes it towards...
Are your Big Data initiatives resulting in a Big Impact or a Big Mess? In his session at 6th Big Data Expo®, Jean-Francois Barsoum, Senior Managing Consultant, Smarter Cities, Water and Transportation at IBM, will share their successes in improving Big Decision outcomes by building stories compelling to the target audience – and our failures when we lost sight of the plotline, distracted by the glitter of technology and the lure of buried insights. Our cast of characters includes the agency head...
Scene scenario: 10 am in a boardroom somewhere, second round of coffees served, Danish and donuts untouched, a quiet hush settles. “Well you know what guys? (and, by the use of the term guys I mean to include both sexes here assembled) – the trouble that we have as a company is that we are, to put it bluntly, just a little analytics poor,” said the newly appointed Chief Analytics Officer. That we should consider a firm to be analytically deficient or poor is a profound comment on our modern ag...