All Posts in developer-engineer

December 19, 2018 - Comments Off on Phase Change unveils COBOL Colleague product website

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 terickson@phasechange.ai.

October 30, 2018 - Comments Off on COBOL is dead! Long live COBOL!
A living collection of COBOL articles

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

updated October 30, 2018

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.

Excerpt

It’s Cobol all the way down
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.
April 2018
by Glenn Fleishman, Increment.com
https://goo.gl/QpnUFa

Brain Drain: Where COBOL systems go from here
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.
May 21, 2012
by Robert L. Mitchell, CIO.com
https://goo.gl/8UKvPg

Read more at CodeCatalyst.ai

March 21, 2018 - Comments Off on Phase Change scientists present natural language chat interface paper at AAAI Conference – blog

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 rpandita@phasechange.ai.

Todd Erickson is a tech writer with Phase Change. You can reach him at terickson@phasechange.ai.

January 25, 2018 - Comments Off on Introducing Mia — the first assistive AI for software development

Introducing Mia — the first assistive AI for software development

January 25, 2018

by Todd Erickson

Phase Change proudly presents our maiden in-house video, featuring Mia, the first assistive AI for software development.

Mia helps organizations retain the expert knowledge encoded in software. Developers, stakeholders, and executives can use this knowledge to better understand their applications and increase development productivity by a factor of 100.

Learn why founder and CEO Steve Bucuvalas first began to envision the technology and see how Mia collaborates like an expert to help users explore and comprehend their software.

Discover why one executive said, "I never thought I'd see this in my lifetime."

 

 

Todd Erickson is a tech writer with Phase Change. You can reach him at terickson@phasechange.ai.

August 4, 2017 - Comments Off on Phase Change enables market adaptability through impact analysis

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 terickson@phasechange.ai.

June 26, 2017 - Comments Off on Understanding code is the key to software development

Understanding code is the key to software development

June 26, 2017

By Elizabeth Richards and Todd Erickson

Discover how software developers are like archaeologists, and why understanding source code – the key to software development – involves a lot more than digging. You can read more about it at CodeCatalyst.ai.

Excerpt

Software engineers are often called developers. However, according to a number of experienced programmers, they spend the great majority of their time (78%) simply searching and understanding existing software, and the rest of their time (22%) actually modifying legacy software or developing new applications.

Programmers are forced to spend so much time finding and comprehending code because current tools and techniques are not technically savvy, and they are too focused on the searching process. They don't help developers understand how the code works together within the systems they serve.

Read more at CodeCatalyst.ai

February 16, 2017 - Comments Off on Leveraging software’s encoded knowledge to create an assistive AI — science podcast 4 of 4

Leveraging software’s encoded knowledge to create an assistive AI — science podcast 4 of 4

February 16, 2017

This is the fourth and final in a series of practical talks by founder and CEO Steve Bucuvalas about Phase Change Software, what we are developing, the math and science behind our technology, and the impact on the software development process.

Using a whimsical example of dog banking, Steve discusses how the knowledge that’s encoded in software is normalized into a data structure, which enables us to create an assistive AI and solve the learning curve problem.

Podcast Slides and References

Time Stamps Slides and References
00:11 Steve Bucuvalas Podcast – Equality: The fundamental operation for software as data -- science podcast 3 of 4
05:15 PowerPoint Slide #1: Black-box view of Dog banking application -- the user (dog) view
05:21 PowerPoint Slide #2: White-box view of Dog Banking application -- the developer view
08:30 PowerPoint Slide #3: Merging the black-box and white-box views -- Dog Banking source code sliced into functional segments

February 16, 2017 - Comments Off on Equality: The fundamental operation for software as data — science podcast 3 of 4

Equality: The fundamental operation for software as data — science podcast 3 of 4

February 16, 2017

This is the third in a series of practical talks by founder and CEO Steve Bucuvalas about Phase Change Software, what we are developing, the math and science behind our technology, and the impact on the software development process.

In this podcast, Steve addresses the fundamental operation for software to be treated as data, which is equality, and begins by asking how we know when a fundamental unit of software is equal to something else? The first talk in this series introduces the idea of compiling programs into an AI representation. In the second talk, the Turing and Rice proofs are shown that they only apply to the mental domain of computation.

Podcast Slides and References

Time Stamps Slides and References
00:28 Steve Bucuvalas Podcast – Changing the essence of software and creating breakaway efficiency — science podcast 1 of 4
00:36 Steve Bucuvalas Podcast – The Turing machine, the Halting problem, and Rice’s use of the Turing proof — science podcast 2 of 4
02:50 PowerPoint Slide #1: Using C-language functions to show functional equivalence determination method
09:05 PowerPoint Slide #2: Stack Overflow thread about Turing's Halting problem -- Online Thread
10:34 Steve Bucuvalas Podcast – Leveraging software’s encoded knowledge to create an assistive AI — science podcast 4 of 4

February 16, 2017 - Comments Off on Changing the essence of software and creating breakaway efficiency — science podcast 1 of 4

Changing the essence of software and creating breakaway efficiency — science podcast 1 of 4

February 16, 2017

This is the first in a series of practical talks by founder and CEO Steve Bucuvalas about Phase Change Software, what we are developing, the math and science behind our technology, and the impact on the software development process.

In keeping with the physics' definition of the term ‘phase change,’ we are changing the essence of software. Taking something that is chaotic and turning it into something coherent. Taking something that is intractable and hard to understand and making it into an AI that actively helps every person in the software development process.

January 5, 2017 - Comments Off on Math and science make the difference — video

Math and science make the difference — video

January 5, 2017

Founder and CEO Steve Bucuvalas explains why Phase Change is well-founded in science and how it is overturning historical assumptions about computational theory.