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redpill Forensics

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A look at how a combination of code and data forensics can be used to understand the content of Notes applications.

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www.redpilldevelopment.comlearn. do. dream. redpill Forensics Phase 1: Case Study
www.redpilldevelopment.comlearn. do. dream. 1. Graph Database Technology Emerging Trend: Big Data Emerging Trend: Graph Databases • Handles large volumes of data • Better representation of complex relationships • Non-linear performance characteristics • Powerful query languages Sample Graph Database: • Nodes reflects movies, cast • Edges reflect relationships between nodes
www.redpilldevelopment.comlearn. do. dream. 2. How Applications Are Used Emerging Trend: User Analytics • Analysis should focus on how applications are used, not what they were programmed to do • Mine the data as much as the design • Add tools to improve metric collection • Latest data is the most relevant IT Meetings Srategic Planning Code Snippets Icon Library Notes Discussion Help Desk Modernization Discussion NA Budgets Lotusphere Presentations Expense Reports Policies & Procedures Travel Requests Test Plans Defects Rolodex Top 15 Applications By Updates (12 Months) Bar Chart: • Pareto Analysis • Applications most used • Objects most used • Add animation to reveal trends over time
www.redpilldevelopment.comlearn. do. dream. 3. Modern Charting Emerging Trend: Data Visualization • Combine use of sized, color, movement • Show connections • Representation of complex data • Representation of large volumes of data • Animated (time-lapse) charts to show trends over time Node-Link Tree: • Application design represented as a tree grid • Paths can be expanded/collapsed • One of hundreds of new chart formats
www.redpilldevelopment.comlearn. do. dream. 4. Identifying Common Code Emerging Trend: Code Reuse • Single biggest driver of cost comes from finding common code used within and across applications • Prioritize tasks for modernization • Use to refactor existing applications Bubble Chart: • Size: Number of times a formula is called • Color: Language characteristics • Hover: Details about formula
www.redpilldevelopment.comlearn. do. dream. 5. Less Is More Emerging Trend: Small IT • Modernization is a journey, not a destination. The correct approach is not a single large finite project. • Large projects have a higher risk of:- 1. Running late 2. Running over budget 3. Under-delivering functionality • Focus analysis on the “next” things to be worked on using the latest analytics Collapsible Force Layout: • Servers: Application: Objects • Size: Number of documents • Color: Type of design element • Expand/collapse details • Hover: Design element details
www.redpilldevelopment.comlearn. do. dream. 6. On-Site Analysis Emerging Trend: Data Privacy • Deliver results sooner • Allows real-time or close to real-time data to be used • Avoid issues with removing data • Facilitates on-going analysis • Query languages can handle ad-hoc queries Area Chart: • Usage pattern for database over time • Identify seasonal variations • Identify declines in overall usage • Can cover read, update, create
www.redpilldevelopment.comlearn. do. dream. 7. Objects Emerging Trend: Object Oriented Programing • Data objects within applications offer more insight than application level analysis • Different objects often have distinctly different usage patterns and user associations • Pareto: A lot of code can exist to support maintenance of small amounts of data Circle Packing: • Server: Application: Object • Size: Number of documents
www.redpilldevelopment.comlearn. do. dream. 8. Finding SMEs Emerging Trend: Reverse Engineering Applications • Notes applications are rarely well documented and/or have established test plans • The people who maintain the data the most often have the best understanding about the data and the functionality • Recognize and ignore “system” IDs Bubble Chart: • Key users of an application or object • Weighted based upon number of creates, updates, reads
www.redpilldevelopment.comlearn. do. dream. 9. Refactoring Emerging Trend: Code Re-use • Track down performance bottlenecks • Time sensitive views • Conflict documents • NoCache with @DBLookup • Hard-coding of server names • Names no longer active in directory Dendrogram: • Paths can be expanded/collapsed • Zoom in/out • Hover: Provides additional information

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redpill Forensics

  • 2. www.redpilldevelopment.comlearn. do. dream. 1. Graph Database Technology Emerging Trend: Big Data Emerging Trend: Graph Databases • Handles large volumes of data • Better representation of complex relationships • Non-linear performance characteristics • Powerful query languages Sample Graph Database: • Nodes reflects movies, cast • Edges reflect relationships between nodes
  • 3. www.redpilldevelopment.comlearn. do. dream. 2. How Applications Are Used Emerging Trend: User Analytics • Analysis should focus on how applications are used, not what they were programmed to do • Mine the data as much as the design • Add tools to improve metric collection • Latest data is the most relevant IT Meetings Srategic Planning Code Snippets Icon Library Notes Discussion Help Desk Modernization Discussion NA Budgets Lotusphere Presentations Expense Reports Policies & Procedures Travel Requests Test Plans Defects Rolodex Top 15 Applications By Updates (12 Months) Bar Chart: • Pareto Analysis • Applications most used • Objects most used • Add animation to reveal trends over time
  • 4. www.redpilldevelopment.comlearn. do. dream. 3. Modern Charting Emerging Trend: Data Visualization • Combine use of sized, color, movement • Show connections • Representation of complex data • Representation of large volumes of data • Animated (time-lapse) charts to show trends over time Node-Link Tree: • Application design represented as a tree grid • Paths can be expanded/collapsed • One of hundreds of new chart formats
  • 5. www.redpilldevelopment.comlearn. do. dream. 4. Identifying Common Code Emerging Trend: Code Reuse • Single biggest driver of cost comes from finding common code used within and across applications • Prioritize tasks for modernization • Use to refactor existing applications Bubble Chart: • Size: Number of times a formula is called • Color: Language characteristics • Hover: Details about formula
  • 6. www.redpilldevelopment.comlearn. do. dream. 5. Less Is More Emerging Trend: Small IT • Modernization is a journey, not a destination. The correct approach is not a single large finite project. • Large projects have a higher risk of:- 1. Running late 2. Running over budget 3. Under-delivering functionality • Focus analysis on the “next” things to be worked on using the latest analytics Collapsible Force Layout: • Servers: Application: Objects • Size: Number of documents • Color: Type of design element • Expand/collapse details • Hover: Design element details
  • 7. www.redpilldevelopment.comlearn. do. dream. 6. On-Site Analysis Emerging Trend: Data Privacy • Deliver results sooner • Allows real-time or close to real-time data to be used • Avoid issues with removing data • Facilitates on-going analysis • Query languages can handle ad-hoc queries Area Chart: • Usage pattern for database over time • Identify seasonal variations • Identify declines in overall usage • Can cover read, update, create
  • 8. www.redpilldevelopment.comlearn. do. dream. 7. Objects Emerging Trend: Object Oriented Programing • Data objects within applications offer more insight than application level analysis • Different objects often have distinctly different usage patterns and user associations • Pareto: A lot of code can exist to support maintenance of small amounts of data Circle Packing: • Server: Application: Object • Size: Number of documents
  • 9. www.redpilldevelopment.comlearn. do. dream. 8. Finding SMEs Emerging Trend: Reverse Engineering Applications • Notes applications are rarely well documented and/or have established test plans • The people who maintain the data the most often have the best understanding about the data and the functionality • Recognize and ignore “system” IDs Bubble Chart: • Key users of an application or object • Weighted based upon number of creates, updates, reads
  • 10. www.redpilldevelopment.comlearn. do. dream. 9. Refactoring Emerging Trend: Code Re-use • Track down performance bottlenecks • Time sensitive views • Conflict documents • NoCache with @DBLookup • Hard-coding of server names • Names no longer active in directory Dendrogram: • Paths can be expanded/collapsed • Zoom in/out • Hover: Provides additional information