对于敏捷软件开发，核心技能和持续学习是关键

SoftwareEngineeringTechnologyRoadmap Where and when to investfor maximum value Build your technologyadoption plan Software engineering leaders need strategies to cut throughvendor hype and determine which technologies to invest inand when — to remain competitive against peers. The 2024 Gartner Technology Adoption Roadmap forSoftware Engineering assesses such trends and enablesleaders to benchmark their deployment plans for 47technologies and practices against those of 140+ peers. The roadmap shows the: •Adoption phase of each technology (planning, piloting,deployment planned for 2024 or already fully deployed)•Perceived value and risk of each technology (low, medium,high) based on the assessments of leaders planning to useor increase use of the technology Improving speed and agility is the topmotivation for new tech adoption Primary value factors for software engineering technologies, 2023 and 2024 Technical incompatibility/architecturecomplexity is the primary risk factor Primary risk factors for software engineering, 2023 and 2024 Cost is no longer a primary driver Percent of respondents indicatingcost-efficiencyor savingsas a primary value factor Percent of respondents indicatinghigh orunpredictable costsas a primary risk factor No. 1: AI-related technology adoption Deployment phases of AI-related technologies in the 2024 technology adoption roadmap Top value factors for AI-related technologies Delivers superior capabilities tobusiness and/or customers Enhances developerexperience or productivity Improves speed and agility •AI coding assistants•AI engineering•Generative design AI•AI-augmented testing •AI-augmented software engineering•Prompt engineering •Conversational AI Top risk factors for AI-related technologies Technical incompatibility/architecture complexity•Generative design AI Talent unavailability High or unpredictable costs Cybersecurity risk •AI coding assistants•AI-augmented softwareengineering*•Prompt engineering •AI-augmented softwareengineering•Conversational AI•AI-augmented testing •AI engineering *The primary risk factor for AI-augmentedsoftware engineering was tied betweencybersecurity risk and talent unavailability. 2024 Key Technology Trends No. 2: Developer experience as a critical priority 56% There was a 56% increase in expertinquiries on the topic of developerexperience (DX), from 2022 to 2023. 89% of organizations are activelyworking to improve DX. Technologies driving betterdeveloper experience 2024 Key Technology Trends No. 3: Concerns about software security 15% 75% 45% of software engineeringleaders rate applicationsecurity as a highlyimportant skill to meetbusiness needs. of organizationsworldwide will haveexperienced attacks ontheir software supplychains by 2025. Automating more securityactivities can result in a 15%improvement in meetingsoftware security anddelivery targets. Security and verificationtechnologies Building secure software engineering solutions is a high priority,and many of the technologies are in the deployment phase. In the last year, leaders have advanced some of the newertechnologies, with software bill of materials (SBOM) movingfrom planning to piloting, and software composition analysismoving from piloting to in deployment.WebAssemblyConversational AI Technologies further along in the deployment life cycle — likeAPI threat protection, mobile application security testing, andAPI security testing tools — remain in deployment and havenot moved forward, which may be due to their higher risk levels.AI codingassistantsDevelop Adoption of security technologiesin the past year Adoption phases, risk and value for security technologies, 2023 and 2024 Key take-aways from the 2024 roadmap Speed and agility drive technology adoption plans. Leaders are concerned that technical incompatibility and architecture complexity will inhibittechnology adoption. Cost is not a primary driver of technology adoption plans, a dramatic shift from last year. AI technologies are promising, but leaders are still concerned about risks and unproven utility. Actionable, objective insight Explore these additional complimentary resources and toolsfor software engineering leaders: Tool eBook Research Webinar Improve Developer Productivity,Retention and Morale WithPlatform Engineering Digital Product DevelopmentThat Drives Business Results Software Engineering LeaderEffectiveness Diagnostic How to Use Generative AI toBoost Developer Productivity Benchmark performance and identify areasfor improvement. Pave the right path with this strategicroadmap. Improve developer satisfaction,collaboration and flow, to maximize gains. Deliver a developer experience thatbalances productivity and control. Explore Tool Download eBook Read Research Watch Webinar Already a client?Get access to even more resources in your client portal. Log In Connect With Us Get actionable, objective insight to deliver on your mission-criticalprior