Welcome!

Open Source Cloud Authors: Yeshim Deniz, Pat Romanski, Elizabeth White, Liz McMillan, Zakia Bouachraoui

Related Topics: Java IoT, Open Source Cloud

Java IoT: Article

JavaOne 2008: Uncommon Java Bugs

Detecting them with FOSS tools

Any large Java source base can have insidious and subtle bugs. Every experienced Java programmer knows that finding and fixing these bugs can be difficult and costly. Fortunately, there are a large number of free open source Java tools available that can be used to find and fix defects early in the development life cycle. In this article, we’ll look at a few examples of specific uncommon[1] or unusual defects that can happen in code and see how different Java static analysis tools detect them.

Testing
As software gets more complex and ubiquitous, it becomes more difficult to ensure high-quality code. One common method of finding bugs is testing. But testing can’t cover all paths and possibilities or enforce good programming practices. Expert knowledge in the form of manual code review by peers is one of the best ways to ensure good code quality. Code review is often used as a mandatory process step for improving the code and for finding problems early in the software life cycle.

Since testing and manual code review processes are resource-intensive, it would be helpful to use automated tools to review code. Static analysis tools help considerably in detecting the problems early in the software life cycle and help enhance the quality of the code significantly.

There are many high-quality Java tools available in the open source domain. While it’s true that Java programs don’t suffer from traditional C/C++ problems like memory issues and major portability issues, Java software does suffer quality problems like reliability, efficiency, maintainability, and security. A brief discussion on the benefits of using FOSS Java tools is given in the sidebar.

Before getting into the meat of the matter, let’s discuss why bugs happen. First, it’s important to recognize that everyone makes mistakes, even experts[2]. Second, compilers only check for syntax and semantic violations. Errors in language or API use, which manifest themselves as bugs, aren’t detected by compilers; this is left to static analysis tools and it’s important to use them to detect coding problems. Third, programmers and engineers are under constant pressure to “get-the-work-done” under tight schedules; working under “almost-impossible-to-meet” work schedules results in code that is often substandard and filled with bugs. Because of practical problems, most code developed in the real world has bugs and it’s worthwhile using static analysis tools to find them and fix them.

More Stories By S G Ganesh

S G Ganesh is a research engineer in Siemens (Corporate Technology), Bangalore. Prior to Siemens, he worked in Hewlett-Packard for around five years. His area of interest is programming languages and compilers. His latest book is "60 Tips on Object Oriented Programming" (ISBN-13 978-0-07-065670-3) published by Tata McGraw-Hill, New Delhi.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
Early Bird Registration Discount Expires on August 31, 2018 Conference Registration Link ▸ HERE. Pick from all 200 sessions in all 10 tracks, plus 22 Keynotes & General Sessions! Lunch is served two days. EXPIRES AUGUST 31, 2018. Ticket prices: ($1,295-Aug 31) ($1,495-Oct 31) ($1,995-Nov 12) ($2,500-Walk-in)
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
The challenges of aggregating data from consumer-oriented devices, such as wearable technologies and smart thermostats, are fairly well-understood. However, there are a new set of challenges for IoT devices that generate megabytes or gigabytes of data per second. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository. Ochandarena discusses a whole new way to think about your next...
CloudEXPO | DevOpsSUMMIT | DXWorldEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by ...
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed...