René Wagner
Canada Revenue Agency (CRA) Help Desk - COBOL to Java Modernization on AWS
CRA and AWS engaged with TSRI to complete the modernization of their COBOL-based system to Java on AWS. To Achieve CRA's goals, TSRI tuned JANUS Studio® to parse, transform, document, and refactor the IBM z/OS COBOL application. In just 1.5 months, TSRI modernized the application from an IBM Mainframe COBOL and CICS monolith to a modern multi-tier architecture in Java on the AWS cloud. Just as important, TSRI also converted the DB2 database and VSAM sequential files to a relational PostgreSQL database on AWS Aurora.
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Customer: Canada Revenue Agency (CRA) and AWS Source & Target Language: IBM COBOL to Java on AWS Lines of Code: 168,000 Duration: 1.5 Months Services: Automated Code Transformation, Automated Refactoring, Integration and Testing Support, SonarQube Quality Refactoring, Code-Specific Adaptation, Database Migration, Transformation "To-Be" Blueprint®, Application "As-Is" Blueprint®
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- sql
- transformation blueprint
- Platform Migration
- modernization
- Software Code Modernization
- Refactoring
- Code Documentation
- modernize
- migration
- Data
- Data Migration
- assessment
- architecture
- multitier
- Microservices
- Micro Services
- monolithic
- Security Refactoring
- application modernization
- System Modernization
- Object Oriented
- Quality Output
- Asis Blueprint
- Software Modernization
- Modern Architecture
- ArchitectureDriven
- Software Transformation
- transformation
- cloudnative
- containerized
- modularized
- cobol
- mainframe
- COBOL to Java
- Java
- db2
- DB2 Database
- VSAM
- Monolithic COBOL
- COBOL Modernization
- COBOL Conversion
- Business Case
- DB/2 and VSAM
- stepwise
- input/output (DIO) layer
- SonarQube
- Quality Standards
- SonarQube Quality
- IBM z/OS
- IBM z/OS COBOL
- COBOL and CICS
- cics
- VSAM sequential files to relational
- VSAM to relational database
- PostgreSQL
- PostgreSQL on AWS Aurora
- user interface
- BMS
- BMS to Angular
- BMS to Web Screens
- Containerized on AWS
- Cost Savings
- Green Screen Modernization
- Architecture Diagram
- BMS to CSS
- BMS to HTML5
- Monolithic to Multitier
- Monolithic to cloud native
- VSAM to modern database
- jcl
- batch
Pitney Bowes Postage Payment System Modernization HP Tandem COBOL to C# on AWS
The Pitney Bowes Postage Payment Application had been running COBOL for decades on an HP NonStop Tandem mainframe, however, to seize the opportunities of the digital cloud age and to reduce overall technical debt, Pitney Bowes needed to modernize the Tandem COBOL to C# .NET Core. Just as important as the code, the HP NonStop Tandem database needed to also be migrated to a modern Microsoft SQL Server database and deployed to AWS. TSRI successfully transformed the application at 99.96% automation, and deployed the modernized application on the AWS cloud.
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Customer: Pitney Bowes Inc. Source & Target Language: COBOL to C# .Net Core on AWS Lines of Code: 390,000 Duration: 6 Months Services: Automated Code Transformation (99.96% level of automation), Automated Refactoring, Database Conversion: File based system to a Microsoft SQL Environment, Integration and Testing Support, Transformation Blueprint®, Application "As-Is" Blueprint®,
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- sql
- transformation blueprint
- Platform Migration
- modernization
- Software Code Modernization
- Refactoring
- Code Documentation
- modernize
- migration
- Data
- Data Migration
- assessment
- architecture
- multitier
- Microservices
- Micro Services
- monolithic
- Security Refactoring
- application modernization
- System Modernization
- Object Oriented
- Quality Output
- Asis Blueprint
- Software Modernization
- Modern Architecture
- ArchitectureDriven
- Software Transformation
- transformation
- cloudnative
- containerized
- modularized
- State Contract
- RFI
- RFP
- cobol
- COBOL to C#
- VAX COBOL
- RMS flat file
- database
- Open VMS RMS Flat Files
- to SQL
- to SQL Server environment
- Architecture Driven
- Cloud based
- MS SQL Server
- Microsoft SQL
- COBOL to C# NET Core
- NET Core
- AWS Cloud
- HP NonStop Tandem Mainframe
- mainframe modernization
- Mainframe Migration
- HP Tandem
- HP Nonstop
- Postal System Migration
- Postal System Modernization
- Cost Savings
- Mainframe cost saving
- Cost of ownership
- From Monolithic to multitier
- distributed architecture
Modernize the code. Keep the brilliance.
How long would it take you to complete 25,000 tasks that take thirty minutes each?
Before you drag out your calculator, that’s 12,500 hours, or about 1,562 working days. Wouldn’t it be better to have it all done in under an hour? That gives you an idea of how refactoring—when done correctly—can accelerate modernization process and deliver accuracy in the range of just one error among 20,000 lines of code. That’s the kind of accuracy that’s needed for critical systems. Let’s talk about how refactoring achieves it so fast.
The refactoring phase of modernization at TSRI takes a project beyond updating the code and database to modern standards and system architecture. Sure, the planning, assessment, transformation, and integration phases of a modernization process get the mass of the work done. But more is needed. Imagine if a great painter only took a portrait to the point of getting the features in the right places. For functional equivalency, high performance, and future-readiness you need to dive into the details to get them as right as the original—and ready for future enhancements and needs.
That’s where refactoring can be hugely beneficial. If, after the transformation and integration phases you have to find and address each issue manually over hundreds of thousands or millions of lines of code, you may as well add those 12,500 or more hours back in. That’s why refactoring is key. By including an iterative code scanning and refactoring phase to the modernization process, TSRI automatically and semi-automatically remedies a host of issues at scale that would make developers run for the hills, including:
- Pinpointing and getting rid of dead or non-functional code
- Merging and consolidating duplicate code and data
- Improving design of code and data
- Eliminating system flaws from transformed software
"TSRI's refactoring process creates reusable components that can be applied to future projects"
And beyond those cleaning and refining functions, a well-designed refactoring process also provides forward-looking advantages. TSRI’s refactoring process improves maintainability, remediates security vulnerabilities, increases performance, and modularizes functionality. It also creates reusable components that can be applied to future projects for optimization, packaging, and redistribution.
When you’re able to reuse some or all of the outputs of automated or semi-automated refactoring, you don’t have to recreate the mechanisms for modern microservices, REST calls, and other reusable elements. They’re at your fingertips and ready for integration in modern environments or databases for future projects. It gives you the best of modularity, but customized and created specifically for your systems’ needs such as data-dictionaries, code and record consolidation, introduction of logging or comments, and more.
"It gives you the best of modularity, but customized and created specifically for your systems' needs."
One scan, one rule, and thousands of fixes
A key part of the refactoring process is scanning the newly modernized code to find issues for remediation. To do this, we use the SonarQube scanning tool. SonarQube is an open-source platform that executes continuous inspection of code quality in modernized code. It provides a detailed report of bugs, code smells, vulnerabilities, code duplications, and more. Once SonarQube has identified problems in the code the TSRI team can use the results to resolve the issues and improve code maintainability issues and security vulnerabilities.
This is where the economy of rules comes in. Once SonarQube has pointed out issues across thousands of lines of code, TSRI uses that intel to identify the types of issues that need to be addressed. When an issue appears once in an application, it often appears hundreds or thousands of times, and a single rule applied across all code can eliminate a host of individual instances.
So how did we get to those 12,500 hours we started with? We didn’t just make it up. In a TSRI project for Deutsche Bank, a single rule created based on a scan of the code fixed about 25,000 instances that issue. SonarQube estimated it would take 30 minutes to fix each instance. That means refactoring automated the remediation process and saved them about 12,500 hours of software development time. That’s a lot of Marks.
The proof is in the work. Refactoring can not only save thousands of coder hours, but a combination of code scanning and refactoring can also uplevel your modernization with:
- Maintainability making it easier to update and manage code going forward
- Readability for modern developers to find and improve the functions they need more easily
- Security by increasing the speed with which security issues can be found and remediated either manually or through refactoring rules
- Performance greatly increasing the efficiency of the application—for instance, enabling multiple services to run in parallel rather than sequentially.
Find out what refactoring done right can do for you, contact TSRI now
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Ada to Java & CEACIDE Jellyfish - Fire Control System
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- ada
- Java
- Code Transformation
- transformation
- automated refactoring
- modernization
- migration
- modernize
- Large application
- Code Modernization
- architecture
- well architectured
- Software code Conversion
- dod
- Department of Defense
- NGC
- Northrop Grumman
- Fire Control System Application
- Missile Defense Systems Algorithms Maturation
- MDSAM
- Embedded Systems
- Missile Defense System
- Ada code
- Ada Software Code
- Collaborative Engineering and Automation for Continuous Innovation and Deployment Environments
- CEACIDE
- Jellyfish
- Modeling Language
- New Language
- IRAD
- Ada to Java
- to Java
- Framwork
- Framework Library
- COVID 19
- classified
- Transform to Compile
- Refactoring
- Classified Systems
- partnership
- SI Team
VAX Basic to C# - Shaw CBS System
Shaw Cable Systems, one of TSRI's Candian customers, engaged TSRI to modernize their CBS system, which involved 772,684 lines of VMS VAX BASIC source code and 275,707 of VAX Basic comments. The system modernization called for code conversion to C#, along with other services.
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Customer: Shaw Cable System Source & Target Language: VMS VAX BASIC to C# Lines of Code: 1.1 Million Duration: 5 months Services: Automated Code Transformation, Automated Refactoring, Separation of the business and data logic into tiers, Integration and Testing Support, Engineering Support, Transformation Blueprint®
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- basic
- sql
- transformation blueprint
- Platform Migration
- modernization
- Software Code Modernization
- Refactoring
- Code Documentation
- modernize
- migration
- Shaw
- Shaw Cable Systems
- VAX Basic
- VAX Basic to C#
- to C#
- CBS System
- code conversion to C#
- Business Logic
- Data Logic
- VAX Documentation
- C# System
- user interface
COBOL Refactoring - State of Oregon OPERS
The Oregon's Public Employees Retirement System (OPERS) serves approximately 300,000 employee members, inactive members and retirees from more than 850 public employers. OPERS required a major maintenance action of the OPERS Benefit Estimation Subsystem (BESS) and Benefit Calculation Subsystem (BCSS) to address changes in Oregon State retirement regulations. TSRI's automated refactoring capability was used to consolidate the applications and remove dead and redundant code.
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Customer: State of Oregon Public Employees Retirement System Source & Target Language: COBOL Refactoring Lines of Code: 250,000 Duration: 4 Months Services: JANUS Studio® Automated Refactoring, Testing and Implementation Support, Application Blueprint®
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- transformation blueprint
- modernization
- Software Code Modernization
- Refactoring
- Code Documentation
- modernize
- assessment
- Security Refactoring
- System Modernization
- Object Oriented
- Quality Output
- Asis Blueprint
- Software Modernization
- ArchitectureDriven
- transformation
- State Contract
- RFI
- RFP
- cobol
- oregon
- Retirement System
- Financial System
- Major Maintenance
- Benefit Estimation Sub System
- Benefit Calculation Sub System
- Regulation
- Regulation Changes
- COBOL II
- Redundant Code
- Obsolete code
- Functionally dead
- Dead Code
- Refactor
- Code Refactoring
- Software refactoring
- System consolidation
- new regulations
- refactored application
- Standardize Data Names
- COBOL Refactoring
C Documentation - AT&T Billing System
System integrator CSC was contracted to modernize AT&T's billing code, written in the C language. CSC brought The Software Revolution, Inc. (TSRI) aboard to generate documentation of AT&T's code to assist in their modernization efforts.
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Customer: AT&T & CSC Source & Target Language: C Lines of Code: 961,780 Duration: 6 Weeks Services: Application Blueprint®, Engineering Support, Program Management, Blueprint Documentation Refresh, Defect Resolution, Documentation Customization
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- Code Documentation
- modernize
- migration
- assessment
- architecture
- multitier
- Asis Blueprint
- Software Modernization
- Modern Architecture
- ArchitectureDriven
- Software Transformation
- Structure Charts
- Data Elements
- Design Metrics
- Navigation Indicies
- Control Flow Diagrams
- state transition tables
- causeeffect graphs
- cause and effect graphs
- Application Blueprint
- Application Documentation
- C Language
- C code
- C Documentation
- AT&T
- Business System
- Business Logic
- Business Rules
- csc
C to MS-SQL/C - Sempra Energy
Sempra Energy needed to move their Microgrid Control System (MCS) application into a more contemporary environment. The challenge that TSRI and mLogica faced was transforming Sempra Energy's existing Sybase OpenServer platform into a more modern .NET/MS-SQL server environment under strict budget and schedule constraints. The project, which included the modernization, documentation, refactoring, testing, and integration of the application, was successfully concluded on-time and within budget constraints.
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Customer: Sempra Energy & mLogica Source & Target Language: C to MS-SQL/C Lines of Code: 211,000 Duration: 4 Months Services: Automated Code Transformation, Automated Refactoring, Round-tripping, Unit Testing, Third Party Code Quality Refactoring, Integration and Testing Support, Transformation Blueprint®, Application Blueprint®
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- sql
- transformation blueprint
- modernization
- Software Code Modernization
- Refactoring
- Code Documentation
- modernize
- migration
- application modernization
- System Modernization
- Quality Output
- Asis Blueprint
- Software Modernization
- Modern Architecture
- ArchitectureDriven
- Software Transformation
- transformation
- Code Requirements
- Avionics Standards
- Testing and Integration
- Manual Rewrite
- Code Quality
- Sempra Energy
- Sybase
- OpenServer
- C code
- Energy System
- Microgrid
- Sybase OpenServer
- NET/MSSQL
- MSSQL
- MS SQL
- CS library
- C data structures
- C dependencies
- Code conversion
- Functional Equivalent System
- maintenance
- new developers
- modernized code
- OpenServer to NET/MSSQL
- net
- C to MSSQL
- Roundtrip
- roundtripping
- C utility functions
- Server Compatable C
Ada 95 to C++ IDT ATRT
TSRI modernized IDT's Automated Test & ReTest (ATRT) tool from Ada 95 to C++. ATRT is a patented automated testing and analysis toolset that provides development and integration; system and certification; installation; and cybersecurity testing for many vital military planning, weapon and sensor systems.
- Customer & Integrator: Innovative Defense Technologies (IDT)
- Source & Target Language: Ada 95 to C++
- Lines of Code: 195,000 (Classified and Unclassified)
- Duration: 2 months
MUMPS to Java HRG MGS TAPS CHCS
TSRI, contracted withHawaii Research Group (HRG), supported the task of finding the subset of code within CHCS and use its innovative JANUS Studio® toolset to automatically transform the legacy code to modern code.
- Customer: HRG
- Source & Target Language: MUMPS to Java
- Lines of Code: 1,000,000
- Duration: 4 months