Tackle-DiVA (Data-intensive Validity Analyzer)

Tackle-DiVA is a command-line tool for data-centric application analysis. It imports a set of target application source files (*.java/xml) and provides following analysis result files.

• Service entry (exported API) inventory
• Database inventory
• Transaction inventory
• Code-to-Database dependencies (call graphs)
• Database-to-Database dependencies
• Transaction-to-Transaction dependencies
• Transaction refactoring recommendation.

Prerequisites

• Docker runnable environment (e.g. RHEL, Ubuntu, macOS)

Getting Started

Supposed that tackle-diva is cloned to /tmp,

0. Build docker image for diva.

$ cd /tmp/tackle-diva/
$ docker build . -t diva

1. Prepare source codes of target Java applications whose Java framework is supported in DiVA, such as DayTrader7 and TradingApp.

$ cd /tmp
$ git clone https://github.com/WASdev/sample.daytrader7.git

2. Move to tackle-diva/distrib/bin/ directory, and execute diva_docker command attaching directory full path.

$ cd /tmp/tackle-diva/distrib/bin/
$ ./diva_docker /tmp/sample.daytrader7/

3. Check tackle-diva/distrib/output directory and confirm analysis result files

$ ls /tmp/tackle-diva/distrib/output
contexts.yml            transaction.json        transaction_summary.dot
database.json           transaction.yml         transaction_summary.pdf

Analysis Results

An output directory for storing analysis result files:

• contexts.yml: Extracted application service entries
• database.json: Extracted database tables
• transaction.json/yml: Extracted transactions that expresses as a sequence of service entry, call graphs, SQLs
• transaction_summary.dot/pdf: Extracted database-to-database/transaction-to-transaction dependencies and recommended transaction refactoring.

Supported Java Frameworks

• Spring Boot (e.g. TradingApp)
• Servlet (e.g. DayTrader7)

The other frameworks to be supported.

Materials

• opensource.com article
• Youtube recording

Code of Conduct

Refer to Konveyor's Code of Conduct here.