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The remaining 3 people had been with the team for a few months and one of them eventually left the team. People who joined our team were totally new to Citi. So the new team of 8 developers plus the product owner and the scrum master had to quickly get a grasp of what we came to own. The owners created and deployed to the Citi intranet Maven sites for components they own. The sites featured component overview, Java API documentation, roadmap and changelog pages. Component listings provided links to the component sites.

All the sites have the same style. The wiki evolved continuously. In this role I wore two hats - a product owner and a dev lead of the Productivity pillar. Before a start of a new sprint stories were prioritized and assigned to the team members with capacity and skillset in mind. The focus of the team was to provide solutions for conversion of monolithic applications into micro-services. One of the monoliths which we worked with was a Java Web Application project with: 14 thousand Java classes organized into a thousand of packages.

About thousands methods and 75 thousands fields. The above metrics do not include dependencies, just the application per se. First we started with Sonargraph-Explorer to get a feeling of what we were facing. After that we created a model loader which leveraged ASM to walk through the bytecode and populate the model.

The application used PlantUML to visualize the model via class context diagrams and method sequence diagrams. After we loaded several modules the application repository had about 2 million objects - packages, classes, methods, fields. The performance was not lightning fast, but acceptable and the repository database was about megabytes.

Using ASM we also created a code instrumentation tool which would take a jar file and data collection endpoint URL as input and output a jar with bytecode instrumented to report call trees to the endpoint. Collection of runtime call tree information was intended to complement static analysis by recording reflective calls. The next step for us was creation of an Eclipse plug-in for module extraction.

Given a number of entry points classes, methods the plug-in was able to extract a sub-set of the source project codebase traceable from the entry points. In classes the plug-in would only extract class members traceable from the entry points. The plug-in used the loader module and Eclipse JDT to analyze source code, and JDT refactoring capabilities to extract the code into a new module. Evaluated several leading tag management solutions.

Created a test harness for comparing difference in web pages performance before and after deployment of the tag management solution. Demonstrated execution of tests in different browsers on different operating systems with Jenkins multi-configuration matrix builds and with Selenium Grid. Mobile Applications - Demonstrated an approach to automating functional tests of Android applications in emulators and on real devices with Selendroid , Appium , and Selenium Grid.

Jenkins pulls sources from Subversion and Rational Team Concert. Migrated several existing projects from Ant to Maven. Set up a Continuous Delivery Wiki site with cookbooks and links to the tools and additional information.

JavaScript was generated from a model because hand-crafting would be labor-intensive and error-prone. Generated JavaScript was used either in the browser or on Node. Measured and compared network traffic using the new approach vs. An overview of principles and technologies: The API was organized into namespaces containing classes which in turn contained attributes and functions.

Multiple inheritance. The model supported templates in doT. Templates could be parameterized or parameterless. Parameterless templates were generated as read-only properties, e. Parameterized templates were generated as functions. Multi-resource multi-file models, e.

The wiki evolved continuously. In this role I wore two hats - a product owner and a dev lead of the Productivity pillar. Before a start of a new sprint stories were prioritized and assigned to the team members with capacity and skillset in mind. The focus of the team was to provide solutions for conversion of monolithic applications into micro-services.

One of the monoliths which we worked with was a Java Web Application project with: 14 thousand Java classes organized into a thousand of packages. About thousands methods and 75 thousands fields. The above metrics do not include dependencies, just the application per se. First we started with Sonargraph-Explorer to get a feeling of what we were facing. After that we created a model loader which leveraged ASM to walk through the bytecode and populate the model. The application used PlantUML to visualize the model via class context diagrams and method sequence diagrams.

After we loaded several modules the application repository had about 2 million objects - packages, classes, methods, fields. The performance was not lightning fast, but acceptable and the repository database was about megabytes. Using ASM we also created a code instrumentation tool which would take a jar file and data collection endpoint URL as input and output a jar with bytecode instrumented to report call trees to the endpoint.

Collection of runtime call tree information was intended to complement static analysis by recording reflective calls. The next step for us was creation of an Eclipse plug-in for module extraction. Given a number of entry points classes, methods the plug-in was able to extract a sub-set of the source project codebase traceable from the entry points. In classes the plug-in would only extract class members traceable from the entry points.

The plug-in used the loader module and Eclipse JDT to analyze source code, and JDT refactoring capabilities to extract the code into a new module. Evaluated several leading tag management solutions. Created a test harness for comparing difference in web pages performance before and after deployment of the tag management solution. Demonstrated execution of tests in different browsers on different operating systems with Jenkins multi-configuration matrix builds and with Selenium Grid.

Mobile Applications - Demonstrated an approach to automating functional tests of Android applications in emulators and on real devices with Selendroid , Appium , and Selenium Grid. Jenkins pulls sources from Subversion and Rational Team Concert. Migrated several existing projects from Ant to Maven. Set up a Continuous Delivery Wiki site with cookbooks and links to the tools and additional information. JavaScript was generated from a model because hand-crafting would be labor-intensive and error-prone.

Generated JavaScript was used either in the browser or on Node. Measured and compared network traffic using the new approach vs. An overview of principles and technologies: The API was organized into namespaces containing classes which in turn contained attributes and functions. Multiple inheritance. The model supported templates in doT. Templates could be parameterized or parameterless. Parameterless templates were generated as read-only properties, e.

Parameterized templates were generated as functions. Multi-resource multi-file models, e. Attributes were mapped to service calls. Once service call could retrieve multiple attributes and one attribute could be retrieved by multiple services. Conceptually services were overlapping fetch groups.

Attributes could have validations associated with them. Classes were loaded on demand in the browser with RequireJS. Synchronous and asynchronous modes - same API with asynchronous mode loading returning Q promises instead of data values. Syntax highlighting editors for functions, services and templates code.

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