AI-augmented, software-testing tools provide capabilities for advanced, self-optimizing and adaptive automated testing through the use of AI technologies, such as machine learning (ML), self-healing heuristics or computer vision. They assist humans in their testing efforts and reduce the need for human intervention in the following areas: Test case and test data generation Test suite optimization and coverage detection Test efficacy and robustness Test analysis and defect prediction Test effort estimation and decision making AI-augmented testing tools streamline, accelerate and improve the test workflow, as models can be retrained based on the data collected from the activities they perform — thereby enhancing human productivity.
The application development life cycle management (ADLM) tool market focuses on the planning and governance activities of the software development life cycle (SDLC). ADLM products focus on the 'development' portion of an application's life. Key elements of an ADLM solution include: software requirements definition and management, software change and configuration management, software project planning, with a current focus on agile planning, work item management, quality management, including defect management. Other key capabilities include: reporting, workflow, integration to version management, support for wikis and collaboration, strong facilities for integration to other ADLM tools.
Gartner defines DevOps platforms as those that provide fully integrated capabilities to enable continuous delivery of software using Agile and DevOps practices. The capabilities span the development and delivery life cycle built around the continuous integration/continuous delivery (CI/CD) pipeline and include aspects such as versioning, testing, security, documentation and compliance. DevOps platforms support team collaboration, consistency, tool simplification and measurement of software delivery metrics.
Gartner defines enterprise agile planning (EAP) tools as products that enable organizations to scale their agile practices to support a holistic enterprise view. EAP tools are an evolution of project-/team-centric tools to support a business-outcome-driven approach to managing agile product delivery at scale. This evolution is highlighted by the fact that several of these tools also offer project portfolio management (PPM) and strategic portfolio management (SPM) capabilities. EAP tools in this market combine data from multiple sources to enable: - Monthly, weekly and even daily incremental value delivery based on business outcomes - Support for enterprise agile frameworks like Scaled Agile Framework (SAFe) - Product roadmapping - Management of strategy, investments and objectives - Increased visibility into the flow of work - Management of work backlogs - Collaboration capabilities for individuals and teams - Management of cross-team dependencies - Release planning and forecasting - Visibility into the financial aspects of the work being done
The In-app protection market refers to security solutions implemented within the application (instead of the network or the operating system, for example) to make the application more resistant to attacks such as malicious data exfiltration, intrusion, tampering, and reverse engineering. Enterprises use in-app protection to safeguard their software-based assets and to protect their organization and customers from fraudulent attacks.
Product roadmapping tools for software engineering have simplified product-related communication and streamlined product management and development efforts. This document profiles selected vendors and tools that can assist with: Management of software product vision and strategy alignment Communication of ideas and requirements Decision making through an understanding of user behavior, data and analytics, priorities, and consequences Defining software features and business capabilities, and handling backlogs Planning and tracking software development releases Financial and budget management Collaboration on timelines Communication, negotiation and updates Integration planning and resource tracking Report generation and notifications Managing feedback from developers, teams and users Support for continuous development and continuous integration
Value stream management platforms enable organizations to optimize end-to-end product delivery and improve business outcomes. VSMPs are tool-agnostic; they connect to existing tools and ingest data from all phases of software product delivery all the way from customer need to value delivery. They help software engineering leaders identify and quantify opportunities to improve software product performance by optimizing cost, operating models, technology and processes. VSMPs use AI-/machine learning (ML)-powered analytics and insights to surface constraints, detect bottlenecks and improve flow. This enables stakeholders to take actions that improve throughput and align to business priorities and objectives.