Agile Software Development PREDICTIVE ANALYTICS REPORT

Make Agile Software Development investments easy: Download the complete report HERE

ANALYSIS

What You Need to Know

  • Breakouts in the Agile Software Development predictive analytics are Infrastructure as Code, DevOps, Continuous delivery. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are Infrastructure as Code, Scrum Master, DevOps.
  • By far most employment needs are found in the Quality Assurance, Software development, Risk management technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Business analysis, Risk management, Software development.
  • Risk management, PMBOK, Quality Assurance lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Software development process, Rapid Application Development, Software development methodologies.
  • These three technologies have the most active advertisers: Software development, Risk management, Rapid Application Development.
  • In patents, these three technologies have the most coverage Object-oriented programming, Software development, Quality Assurance.
  • The most publications are available for Software deployment, DevOps, Continuous delivery.
  • Instruction and courseware availability is highest in these technologies: Risk management, Software development, Quality Assurance.

The Agile Software Development report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Agile Software Development’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

 

Predictive Analytics Scores:

 

002051 – Infrastructure as Code
000841 – DevOps
000644 – Continuous delivery
000627 – Continuous integration
000558 – Scrum (development)
000374 – ISO 26262
000337 – Scrum (software development)
000277 – Behavior-driven development
000209 – Scaled Agile Framework
000194 – Software craftsmanship
000184 – Kanban (development)
000173 – Build automation
000171 – Burndown chart
000158 – Rolling Wave planning
000140 – Software development methodology
000140 – Agile CRM
000128 – Scrum Master
000127 – Requirements engineering
000125 – Pair programming
000119 – Software development methodologies
000113 – Adaptive software development
000108 – Software development process
000093 – Business agility
000075 – Quality Assurance
000074 – Software development life cycle
000074 – Software design pattern
000073 – Scrumban
000070 – Iterative and incremental development
000069 – Programming paradigm
000069 – Code refactoring
000067 – Software architecture
000055 – Lean startup
000055 – Disciplined agile delivery
000055 – Change control board
000055 – BABOK
000053 – Acceptance testing
000051 – Object model
000044 – Information model
000041 – Software deployment
000039 – Lean software development
000038 – Risk management
000035 – Software development
000035 – Software design
000035 – Data modeling
000034 – Programming tool
000031 – Oracle Agile PLM
000029 – Application release automation
000027 – Functional specification
000027 – Function model
000024 – Greenfield project
000024 – CMMI
000024 – Agile testing
000019 – Software bug
000018 – Formal methods
000016 – Software construction
000016 – PMBOK
000015 – Legacy system
000011 – Business analysis
000009 – Enterprise architecture
000006 – Requirements analysis
000003 – PRINCE2
000000 – SWEBOK
000000 – Software configuration management
000000 – Service-oriented architecture
000000 – Risk analysis (engineering)
000000 – Rapid Application Development
000000 – Object-oriented programming
000000 – Modeling language
000000 – Microsoft Solutions Framework
000000 – Metamodeling
000000 – ISO/IEC 15504
000000 – International Institute of Business Analysis
000000 – Integrated development environment
000000 – IDEF
000000 – FundRaiser Family
000000 – Fujitsu RunMyProcess
000000 – Extreme Programming
000000 – Executable UML
000000 – Dynamic Systems Development Method
000000 – Digital object identifier
000000 – Cleanroom software engineering
000000 – Capability Maturity Model Integration
000000 – Agile modeling

 
 

Full Report Purchase Options

Full Agile Software Development Report Purchase Options


Leave a Reply