April 9, 2021

Phase Change President: Creative & focused AI needed to help COBOL skills shortage

The so-called "COBOL Skills Shortage" is compelling many organizations to impetuously hire and train programmers to maintain, support, and attempt to modernize their COBOL systems.
But understanding how to write COBOL is not enough — developers have to comprehend what an application actually does and how code changes can impact the system as a whole to avoid critical missteps. That work for those developers is cognitively difficult.

Phase Change President Steve Brothers recently wrote an article for Built In Colorado.com about how artificial intelligence (AI) can help solve the application knowledge gap problem, but only when traditional AI technology gets more creative and moves beyond understanding general business knowledge and instead learns specialized industry and institutional domain knowledge.

AI & software development

AI can help solve the application knowledge gap dilemma, but popular contemporary AI approaches are insufficient. Some AI tools can help with the syntax of writing code, but these remedies only provide incremental value.

Developers spend nearly 75 percent of their time finding the area in the source code in which they need to make a change because understanding code in these large complex systems is difficult and time-consuming.

AI will emerge as a paradigm-changing technology when it can understand code intent and “reimagine” computation into concepts, thereby doing what a developer does when they code — but at machine speed.

Read Steve’s entire Built In Colorado article at https://builtin.com/artificial-intelligence/cobol-skills-shortage.

February 24, 2021

Legacy system failures expose the application knowledge gap’s harmful risks

February 24, 2021

by Steve Brothers

Government system failures during the rush to provide public benefits to alleviate the economic effects of the COVID-19 pandemic publicly exposed the mainframe knowledge crisis that also threatens financial institutions, healthcare providers, and many other organizations foundational to the world economy.

Several states discovered the knowledge-gap’s potentially devastating consequences when waves of unemployment-claims poured into their systems as COVID-19 ravaged the economy in early 2020. The states’ unemployment computer systems crashed trying to process the deluge of claims using mainframes and decades-old programming languages.

But it wasn’t the mainframes or the legacy programming languages that failed, despite what you may have read. It was the lack of available expert programmers necessary to maintain and update these systems to handle the voluminous claims.

According to The Verge’s article, “Unemployment checks are being held up by a coding language almost nobody knows,” Colorado employed exactly one full-time programmer to maintain the state’s COBOL system prior to the pandemic. Back then, Colorado processed roughly 2,000 unemployment claims per week. In March and April 2020, that number rocketed to as high as 104,572 claims per week.

Now governments, non-profits, and private organizations are reviewing their systems’ strategies to learn from these mistakes. If your business relies on legacy systems, you probably should keep reading – and schedule some time with your IT people.

Mainframes are cornerstones

Legacy mainframe systems and software bedrock many of our most trusted institutions, including government services, finance and banking, healthcare, and insurance. In a substantial number of cases the expert developers that created and maintained these systems and software are retiring without a supporting workforce to replace them.

Besides the people that make your business run, your software is potentially the most important resource your organization has. Internal applications likely drive your employees' capabilities and productivity. Customer-facing programs attract new customers, close business deals, and increase revenue. New applications and features can open new markets and opportunities.

To maintain and improve your critical applications, your software team relies on individual engineers that developed an expert understanding of your programs through years of experience. They know the applications and all the accumulated system changes and challenges.

When those experienced engineers depart your business, the developers that replace them must acquire the same application knowledge through training, mentorship, and on-the-job programming. This exercise introduces several material business risks.

Learning on the job

Developers new to software applications typically require 6-12 months of on-the-job learning to become productive, depending on the size of the source code base. To become proficient, programmers may need up to 3 years.

Without qualified software developers knowledgeable about your applications, you endanger your business's operations, reputation, and security. You also risk a significant decrease in your software teams' productivity and efficiency.

Consider the monumental task confronting newly hired or transferred IRS developers last March. Congress passed the CARES Act on March 25, 2020, and then Treasury Secretary Steven Mnuchin announced that individual stimulus checks would be mailed in early April.

To assist with the delivery of economic stimulus payments, the new developers were required to immediately start working with the agency's source code base, which, in 2019, was estimated at nearly 20 million lines of code and includes over 60 years of legislative and system changes. As of mid-May 2020, nearly 20 million people had not received their stimulus checks, and some recipients had problems throughout the year.

These engineers didn’t have 6-12 months to become productive. They had to hit the ground running on day one. And without the benefit of weeks or months of training and on-the-job learning, they didn’t have the application knowledge necessary to understand how even simple changes could affect entire applications.

And let's not forget the productivity loss due to the remaining IRS's experienced engineers for training, mentoring, and supervising the new recruits.

What’s your risk?

Your situation may not be as dire as what the IRS faced – for now. But how much time can you really give your new developers to learn the system, and how much productivity can you afford to lose while your experienced programmers train and supervise them?

How much do you trust the developers that have just started working on your critical applications?

How confident will you be when your CEO or Board of Directors asks for assurances that the next customer-facing application update will not result in outages and lost revenue – especially if the update was programmed by a developer you hired just weeks ago?

Your software is a critical part of your organization, especially if you rely on legacy mainframe systems. You must have a plan or tool that keeps the code running and bridges the gap between retiring and departing developers and the people that will replace them.

Steve Brothers is the President of Phase Change Software. You can reach him on LinkedIn or at [email protected].

May 8, 2020

Colorado Inno profile explains how AI agent improves developer productivity

May 8, 2020

by Todd Erickson

Colorado Inno.com Associate Editor Nick Greenhalgh recently interviewed Phase Change President Steve Brothers for a profile story titled, "Golden startup's AI aims to make developers more efficient," that explains how our technology operates as a subject-matter expert and will improve software-developer efficiency and productivity, especially for industries that rely on enterprise software.

Read more at ColoradoInno.com.

Todd Erickson is a Technology Writer at Phase Change Software. You can reach him at [email protected].

April 1, 2020

IRS stimulus-check delivery faces knowledge gap challenges

April 1, 2020

by Steve Brothers

reuters article march 22 2020 on why stimulus checks could take months to deliver

© 2020 Thomson Reuters

A Reuters' article published March 22, 2020, claims that the IRS will have difficulty delivering stimulus checks to help Americans endure the economic hardships caused by the mandated social-distancing protocols put in place to combat the COVID-19 global pandemic. The story, written by Washington, D. C., correspondent Andy Sullivan, explains how budget cuts and reliance on obsolete technologies, including COBOL-based applications, may not only delay the delivery of the stimulus checks by months but are also preventing the agency from effectively completing its main job of collecting tax revenue.

While the article incorrectly judges the usefulness of COBOL because the IRS can't find enough qualified programmers, it does highlight the issue that Phase Change has been pounding the table about for years – the lack of qualified legacy application developers is a major problem for the enterprises and government bodies that rely on them.

COBOL-based applications quietly run in the background conducting a large share of the world's financial, healthcare, and government-agency business, including the billions of ATM transactions that occur every day.

A great number of the developers that maintain COBOL-based applications are retiring, and the younger generations of programmers don't have much interest in learning the language. More importantly, the application knowledge lost when experienced developers walk out the door cannot be easily replaced by reliant organizations such as the IRS.

The programmers the IRS adds to support the $2 trillion economic stimulus package will not be ready to support the agency's massive delivery of stimulus checks. They may be experienced developers, and they may have a good grasp of COBOL, but they do not understand the complex applications the IRS uses to process and issue recovery payments.

If you think the tax code is complicated, consider that in 2018, the IRS codebase contained an estimated 20 million lines of code that encapsulates nearly 60 years of legislative and system changes.

It can take months for programmers to become productive in applications new to them, and possibly years to become proficient. During the time they are learning the source code, they are more likely to make mistakes and definitely require mentoring and oversight, which decreases the productivity of the rest of the team, prolongs the time it takes to complete projects (such as mailing checks) and increases the risk of major mistakes.

That knowledge gap is what the IRS and many other organizations reliant on COBOL applications are facing today.

Steve Brothers is the President of Phase Change Software. You can reach him on LinkedIn or at [email protected].

December 11, 2019

How short-term maintenance practices can double application size in 5 years

December 11, 2019

by Todd Erickson and Elizabeth Richards

Software must evolve to stay effective, which makes application maintenance a persistent and growing obligation, especially for organizations with large, legacy systems.
Changing marketplaces, compliance updates, security patches, hardware improvements, bug fixes, and process updates all drive code changes.

In his book, Building Maintainable Software: Ten Guidelines for Future-Proof Code, Software Improvement Group Co-founder and CTO Tobias Kuipers says that in larger codebases, 15% of the source code is changed each year.

And software maintenance isn't cheap. Kuipers says that some of his clients spend up to 90% of their IT budgets on program upkeep.

A common problem is the technical debt that piles up when the software team doesn't understand the code they are modifying and its system interdependencies. Combine that lack of knowledge with time and resource demands and the team often resorts to short-sighted modification techniques that add code instead of modifying it in place, which only increases the codebase size, complexity, and technical debt.

Maintenance Challenges for Legacy Code

Legacy applications can have massive and complex code bases created by hundreds of developers throughout decades of work. For example, in 2012, The Bank of New York Mellon reported that its core banking system contained 323 million lines of code and 112,500 COBOL programs. With that size and complexity, even an experienced developer can’t know the whole system.

One issue is the lack of useful documentation. A Catholic University of Brazil study found that between 40% to 60% of maintenance activity is studying the software just to understand it, and the impact analysis required to make the changes without breaking functionality.

Updating documentation can shorten time-to-competency, but it's frequently a low-priority task when stakeholders are demanding that bug fixes, security updates, and functionality improvements be completed yesterday.

Another challenge is institutional brain drain. Inevitably, experienced developers depart the software team, and the loss of that expert knowledge extends the amount of time it takes new developers to understand the applications because there are fewer experienced colleagues they can rely on for assistance.

How do software teams cope?

Application change is required but the lack of understanding introduces risk. To decrease immediate costs and risks, developers and managers may choose to use short-sighted strategies.

Don’t touch the black box

One technique programmers use to avoid breaking unmanageable applications is building separate subsystems (Figure 1).


Just copy the whole damn thing

Another tactic is to duplicate the applicable code (Figure 2). Good development practices recommend editing code rather than duplicating it, but if developers don't understand the code they are editing or its interdependencies, they risk breaking the old functionality.

Instead, developers leave the applicable code in the application, but copy it and place the copy in a new location. Then they modify the duplicate code, hopeful that by leaving the original code in place, they won’t break its functionality.


Duplicating code reduces the risk of breaking the application in the short-term but increases maintenance costs and program complexity in the future. By adding 15% to the code base annually, it will double in just 5 years, making maintenance that much more difficult, expensive, and risky.


Conclusion

Companies face a difficult situation when they choose short-terms strategies that avoid immediate cost and risk but end up creating long-term technical debt.

The solution is to ensure that developers understand the code completely to make sound development decisions. However, the speed of business and technical change affords few organizations the time needed to completely understand their applications.

To learn more about how Phase Change's COBOL Colleague helps developers understand complex COBOL-based applications and make changes quickly and confidently, visit Phase Change's product page.

Elizabeth Richards is Phase Change's Director of Business Operations. You can reach her at [email protected].
Todd Erickson is a Technology Writer with Phase Change. You can reach him at [email protected].

February 11, 2019

Phase Change CEO Steve Bucuvalas featured on the InfluenceNow! podcast

February 7, 2019

by Todd Erickson1

Phase Change’s Inventor, Founder, and CEO, Steve Bucuvalas, was featured in the January 31, 2019, episode of the InfluenceNow! podcast, hosted by Justin Craft2.

The InfluenceNow! podcast highlights startups, exceptional business influencers, and ideas from a variety of industries that influence the world.

Steve and Justin discussed how Phase Change and the technology behind Mia, the first cognitive agent for software development, became a reality.

The interview begins with Steve describing his career leading technology and artificial intelligence (AI) groups in financial services and insurance companies, and his subsequent entrepreneurial career starting and selling two different companies. He tells the story of how a single conversation with the buyer of his second company led to his interest in applying AI technology to the problem of software-development productivity.

At the closing, the buyer said to me, 'What's wrong with you guys in software? AI has changed financial services extraordinarily - increased our productivity 100 times,' which is accurate. 'Why can’t you do that with your own industry?'

That moment led Steve to research the barriers to applying AI to software development, and the development of the human-centric principles that led to the creation of the Mia cognitive agent.

The podcast continues with Steve and Justin discussing why organizations that rely on applications written in the Common Business-oriented Language (COBOL) programming language are Phase Change’s first target market.

COBOL is this 40-50 year-old language that has atrocious legacy problems. Because the code has been around [so long], it runs 85% of the world’s financial transactions and [there’s] 220 billion lines of [active COBOL] code. The programmers are all in their 60’s and they all want to retire, but they keep getting incentives to work a few more years because no one wants to learn COBOL. In fact, some of the kids in computer science [college courses] have never heard of it.

Justin and Steve conclude the interview discussing the productivity gains realized by Mia and Phase Change’s technology, and when it will be generally available.

To learn more about how Steve and Phase Change Software will radically improve software productivity, watch the podcast video below or listen to the audio podcast.


1Todd Erickson is a tech writer with Phase Change Software. You can reach him at [email protected].
2Justin Craft is the Founder and CEO of Cast Influence, a Denver, Colorado,-based turnkey marketing agency. Phase Change Software is a client of Cast Influence.

December 19, 2018

Phase Change unveils COBOL Colleague product website

December 18, 2018

by Todd Erickson

Phase Change announces the launch of its initial product website – CodeCatalyst.ai. The website will support the company's market entry product, COBOL Colleague, the first cognitive tool for software development, by targeting organizations that rely on COBOL-based applications for critical business operations.

The CodeCatalyst.ai website details how COBOL Colleague will assist COBOL reliant organizations with their unique issues, such as a vanishing workforce, lost application knowledge, and lagging productivity.

COBOL Colleague reads-in the source code, extracts the embedded concepts, discovers the dependencies, reveals the buried knowledge, and becomes an expert that never tires and never leaves.

Natural-language-interaction enables developers and stakeholders with limited COBOL experience to collaborate with the cognitive agent and work productively with their COBOL applications.

Find bugs and dead code in seconds, not minutes or hours. Make changes with full knowledge of the downstream impact. Confidently add new features, products, and services. Empower anyone with a basic understanding of COBOL to interact and engage with your COBOL applications.

Everything you dreamed of in COBOL-based environments is now a reality. Visit CodeCatalyst.ai.

Todd Erickson is a tech writer with Phase Change Software. You can reach him at [email protected].

October 30, 2018

COBOL is dead! Long live COBOL!
A living collection of COBOL articles

updated March 16, 2021

by Todd Erickson

To stay up-to-date with the latest news and commentary surrounding COBOL-based applications, we track and archive COBOL-related online articles. Below is our current collection of stories, which we try to update frequently.

Despite its age and multiple reports of its impended death, the Common Business Oriented Language (COBOL) remains responsible for a large portion of the world’s daily financial transactions – credible estimates include as much as $3 trillion per day and roughly 90 percent of all ATM and in-person financial transactions.

COBOL was first published in January 1960 by the Conference on Data Systems Languages (CODASLY), who based it on the first compiler developed by Admiral Grace Hopper and her team at Remington Rand in 1952. It’s designed to develop portable business applications that could be run on systems developed by multiple manufacturers.

It remains vital to the world’s financial systems because of its simplicity and reliability.

One measure of its importance is the number of news and commentary articles published in reliable industry sources that repeat a common theme, namely that the programming language is ancient, nobody wants to use it, but it’s so vital to the financial and government sectors that it won’t go away – COBOL is dead! Long live COBOL!

Once or twice a year a new piece pops up and we typically pass it around the office, discuss new information or opinions it reveals, and archive it.

Recently, one of our shrewd colleagues suggested we post links to these articles here on our website so others in the small but influential COBOL community can reference them.

So we did. We’ll update this page when we discover new COBOL media pieces. If we’ve missed something important, email [email protected].

Long live COBOL!

Articles

2020
Title Date Author Snippet
The code that controls your money November 10, 2020 Clive Thompson
Tech Journalist
COBOL underpins the world's financial systems, and it's not going away soon.
Why the Government Is Desperate for Programmers Who Know This Old Language April 9, 2020 Caroline Delbert
Popular Mechanics
As the U.S. grapples with the economic fallout from the COVID-19 pandemic, government agencies with aging systems are clammering for COBOL developers.
A lazy fix 20 years ago means the Y2K bug is taking down computers now January 7, 2020 Chris Stokel-Walker
New Scientist.com
A quick but lazy fix to the Y2K bug is now putting the same systems in danger.
2019
Title Date Author Snippet
How COBOL still powers the global economy at 60 years old may 23, 2019 Paul Flahive
Texas Public radio
Financial institutions continue to rely on COBOL code, but will new training programs be enough to replace the retiring workforce?
SHARE: GAO’s Mainframe Risk Claims Debunked May 9, 2019 SHARE'D Intelligence The 2018 GAO Report that says government systems are at significant risk due to their reliance on legacy programming languages is nonsense. Evolving architecture is always bridging the gap between older and modern applications.
2018
Title Date Author Snippet
Quartz Obsession: COBOL June 28, 2018 Justin Sablich What's going to happen when all the Baby-Boomer COBOL developers retire?
In digital transformation top banks are leading April 3, 2018 Tom Groenfeldt Instead of ripping and replacing legacy systems and code, which can be prohibitively expensive and time consuming, some banks are maintaining these systems and wrapping customer engagement systems around them.
It’s Cobol all the way down April 2018 Glenn Fleishman COBOL-based systems continue to run much of the world’s financial systems. But its supporting workforce is retiring and efforts to convert these applications to modern programming languages are expensive and time-consuming.
2017
Title Pub Date Author Snippet
COBOL is everywhere. Who will maintain it? May 6, 2017 David Cassel Many of the world’s financial institutions and U.S. government agencies, such as Homeland Security, Department of Veterans Affairs, and Social Security, rely on COBOL-based systems, but a shortage of programming talent and education institutions that provide programming courses is on the horizon.
Trump said government has one 40-year-old IT system. It actually has at least 10. April 12, 2017 Frank Konkel A list of 10 U.S. government computer systems that are at least 40-years old. Three of the systems run on COBOL code.
Banks scramble to fix old systems as IT 'cowboys' ride into sunset April 9, 2017 Anna Irrera
Reuters.com
Organizations that rely on Cobol-based applications have a hard time replacing retiring programmers and support personnel, which has given veteran developers opportunities to continue working, even after retirement.
2016
Title Date Author Snippet
Why it’s time to learn COBOL April 1, 2016 Paul Rubens
CIO.com
Acquiring COBOL programming skills might be a wise career move. Hundreds-of-billions of lines of COBOL code are still in use and many universities have stopped offering classes in the 50+ year old language.
2015
Title Date Author Snippet
The inevitable return of COBOL July 6, 2015 Ritika Trikha
HackerRank
The looming shortage of COBOL programmers will inevitably lead to COBOL programming once again becoming an in-demand skill set.
2014
Title Date Author Snippet
CIOs should prepare for lack of Cobol (Yes, Cobol) developers October 2, 2014 Sharon Florentine
CIO.com
While the demand for talented and skilled Cobol programmers remains steady, the programming language’s lack of popularity has shrunk the available talent pool. As the existing Cobol support workforce ages and retires, companies are resorting to novel strategies to acquire and train staff.
Cobol is dead. Long live Cobol! October 2, 2014 Gary Beach
Wall Street Journal CIO Journal blogs
CIOs that rely on Cobol-based systems keep developer staff as long as possible while others prefer new hires with multi-language capabilities over Cobol-specific or Cobol-only skills.
All the rich kids are into COBOL – but why? September 17, 2014 Matt Asay
readwrite.com
COBOL isn’t sexy or even that popular. But the basic tenants of supply and demand remain true – if there are still a lot of COBOL applications running critical systems and not a lot of programmers interested in learning the 50-year-old programming language, then brushing up on your COBOL skills might make it easier to find a job earning more money.
The government’s COBOL conundrum June 2, 2014 Nicole Blake Johnson
FedTech magazine.com
The U.S. federal government’s Office of Personnel Management released its “Strategic Information Technology Plan” for revamping the agency’s IP operations. Part of the plan discusses the office’s plans for maintaining and eventually migrating away from the roughly 60-million-lines of production COBOL code that enable the agency to meet a number of its regulatory requirements.
2012
Title Date Author Snippet
Brain Drain: Where COBOL systems go from here May 21, 2012 Robert L. Mitchell
CIO.com
Not only does losing experienced COBOL programmers hurt many companies’ ability to maintain its mainframe systems, but it also means the loss of the programmers’ deep understanding of the business logic. A number of organizations are teaming with private businesses to educate younger programmers and team them with experienced developers before it’s too late.
Cobol brain drain: Survey results March 14, 2012 Compuworld Staff Results from the Compuworld survey on Cobol use in business and government, which showed that nearly 50 percent of respondents had operational Cobol-based systems and a large number continue to develop new business applications with Cobol.
The future of COBOL: Why it won’t go away soon – Part 2 January 11, 2012 Brian Bloom
IT World Canada
When thinking about maintaining or replacing their COBOL systems, companies must consider the employee angle. Can they continue to hire COBOL programmers when experts forecast that a major COBOL skills gap in on the horizon, and is that enough of a reason to rip and replace?
The future of COBOL: Why it won’t go away soon – Part 1 January 10, 2012 Brian Bloom
IT World Canada
COBOL-based systems will not be going away anytime soon because of the millions of invested man-hours and dollars already spent to develop these mainframe programs and the enormous predicted replacement costs. There’s also the fact that we don’t have anything better enough to make the change.
Fun

*All images are copyrighted by their respective owners

Todd Erickson is a tech writer with Phase Change. You can reach him at [email protected].

March 21, 2018

Phase Change scientists present natural language chat interface paper at AAAI Conference – blog

March 20, 2018

by Rahul Pandita and Todd Erickson

Research Scientist Aleksander Chakarov, Ph.D., presented a recently published Phase Change workshop paper at the 32nd AAAI Conference on Artificial Intelligence in February.

The AAAI conference is held each spring by the Association for the Advancement of Artificial Intelligence (AAAI) nonprofit and scientific society to promote research in artificial intelligence (AI) and scientific discussion among researchers, practitioners, scientists, and engineers in related fields.

The paper, Towards J.A.R.V.I.S. for Software Engineering: Lessons Learned in Implementing a Natural Language Chat Interface, was co-written by Chakarov and fellow research scientists Rahul Pandita and Hugolin Bergier.

"We're excited about the opportunity to share our work with researchers and get their feedback," Pandita remarked. "We consider it the first of many stepping stones to present the science behind Phase Change's technology."

Phase Change is developing a ground-breaking cognitive platform and an AI-based collaborative agent called Mia that will dramatically improve software development productivity and efficiency. Mia utilizes a natural-language chat interface so users can get up-and-running quickly.

Aleksander presented the paper on during the February 2 AAAI Workshop on NLP for Software Engineering in New Orleans, Louisiana.

The paper

Mia uses a natural language chat interface, much like the virtual assistants in other industries that have demonstrated the potential to significantly improve users' digital experiences.

The paper relates the lessons our developers learned during the first iteration of the Mia chat interface implementation, including:

  • Reusing components to quickly prototype
  • Gradually migrating from rule-based to statistical approaches
  • Adopting recommendation systems

The paper describes these lessons and others, including our experiences applying subliminal priming and the benefits of data-driven prioritization, in more detail.

The workshop

"I feel like we did a good job of setting up the context – what problems we are solving, what our approach is – and then we moved to the takeaways very quickly," Aleksander said about his experience presenting the paper. "People were engaged."

He also described two comments made during his session's brief Q&A time. The first commentator explained how current scientific research supports the paper's findings about subliminal priming and how conversations change over time.

The second commentator discussed our use of rules-based approach at first to develop an optimal work environment and then gradually moving towards a statistical approach. He suggested that there is also a third tactic that uses simulations to quickly gather data and hasten the inclusion of statistical approaches. We will investigate his suggestions for further use.

We welcome your comments and observations.

Rahul Pandita is a senior research scientist at Phase Change. He earned his Ph.D. in computer science from North Carolina State University. You can reach him at [email protected].

Todd Erickson is a tech writer with Phase Change. You can reach him at [email protected].

August 4, 2017

Phase Change enables market adaptability through impact analysis

August 4, 2017

by Todd Erickson

Gary Brach, Ken Hei, and Brad Cleavenger discuss how Phase Change's assistive AI removes the doubt associated with changing software applications.

Changing software is difficult and expensive, and it can be a major stumbling block to business innovation.

Phase Change's assistive AI will enable software teams to quickly and fearlessly address market opportunities by rapidly assessing the scope and viability of proposed software modifications, and then efficiently making changes without adding the technical debt that reduces system performance and application life span.

Todd Erickson is a tech writer with Phase Change. You can reach him at [email protected].

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