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Data Science AnalyticsTop 10 Best Function Points Software of 2026
Top 10 function points software ranking with side-by-side reviews of Alteryx, KNIME, RapidMiner, plus Cosmic Function Points and SLIM-Estimate.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Cosmic Function Points is the strongest pick if your team needs repeatable COSMIC sizing from functional requirements, while SEER-SEM is a better fit when you’re feeding function-point counts into estimation baselines and ScopeMaster suits repeatable counting worksheets with exportable baselines.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Cosmic Function Points
COSMIC worksheet mapping keeps functional requirement traceability to counted data movements and data functions in one session.
Built for fits when teams need repeatable COSMIC sizing from functional requirements, not code-derived metrics..
SLIM-Estimate
Editor pickFunction element worksheets tie classification choices to rollup totals for both unadjusted and adjusted outputs.
Built for fits when teams need repeatable function point sizing from controlled counting worksheets and stable scope..
ScopeMaster
Editor pickWorksheet-driven counting flow that keeps boundary and scope decisions tied to each functional size total.
Built for fits when teams need repeatable function point counting worksheets and exportable size baselines..
Comparison Table
Cosmic Function Points
enterpriseCOSMIC is a functional size measurement method designed for real-time and embedded software sizing.
COSMIC worksheet mapping keeps functional requirement traceability to counted data movements and data functions in one session.
Cosmic Function Points organizes counting around COSMIC data movement concepts, including data entry, data output, and data movements linked to functional requirements. It supports mapping choices tied to complexity weighting so teams can keep unadjusted and adjusted function points aligned with their counting approach. The workflow is designed around traceability from requirement statements to counted elements so counting scope stays coherent across releases.
A practical tradeoff is that results quality depends on careful boundary and requirement scoping input, not on automated discovery of elements from code. It fits best when requirements artifacts already exist, such as a backlog with stable user requirements, and when function point counting must be repeated for each sizing checkpoint.
- +COSMIC-centric worksheet flow ties requirement statements to counted elements
- +Exports keep counts reusable for repeat baselines across sizing checkpoints
- +Scope controls reduce mismatch across application boundary decisions
- +Supports both unadjusted and adjusted outputs from the same counting session
- –Requires disciplined scoping of counting scope and functional user requirements
- –Automation depth is limited to its export and workflow steps
- –Less suited for sizing directly from code or architectural models
- –Complexity weighting depends on manual classification during counting
product and delivery planning teams
Repeat COSMIC sizing per release
Stable change impact comparisons
requirements and business analysis teams
Baseline measurements from user requirements
Traceable functional sizing outputs
Show 2 more scenarios
software estimation owners
Adjusted and unadjusted sizing alignment
Consistent estimation inputs
Estimators produce both unadjusted and adjusted function point results from the same classification work.
portfolio governance teams
Cross-project sizing normalization
Comparable portfolio metrics
Governance teams enforce consistent counting scope decisions and compare outputs across application boundaries.
Best for: Fits when teams need repeatable COSMIC sizing from functional requirements, not code-derived metrics.
SLIM-Estimate
enterpriseSLIM-Estimate models software effort, schedule, cost, and size using function points and other sizing measures.
Function element worksheets tie classification choices to rollup totals for both unadjusted and adjusted outputs.
SLIM-Estimate is positioned for teams that need repeatable function point counting based on IFPUG-style rules and consistent categorization of functional elements. The worksheets capture per-element counts and support audit-friendly rollups that show how totals are derived from the underlying entries. Exportable counting artifacts support handoff to downstream planning where baseline measurement of functional size matters for estimating and benchmarking.
A concrete tradeoff is that strong governance over the counting boundary and element definitions is required to avoid inconsistent totals across sessions. SLIM-Estimate fits situations where functional scope changes incrementally and the same application boundary is expected to stay stable while requirements traceability is maintained for updates.
- +Structured worksheets keep counting steps consistent across iterations
- +Complexity weighting produces unadjusted and adjusted totals from one workspace
- +Counting scope entries support clearer element-level traceability
- +Exportable artifacts help share functional sizing outputs
- –Users must enforce consistent boundary definitions to prevent total drift
- –Automation coverage for bulk counting is limited without manual data preparation
- –Workflow assumes rule discipline rather than free-form estimating notes
- –Advanced governance features are not as prominent as core counting UX
Project estimation teams
Monthly sizing refresh for ongoing releases
Faster iteration on functional size
Product requirements analysts
Translate user requirements into FP elements
More consistent functional sizing
Show 2 more scenarios
QA and governance groups
Reconcile element definitions across counters
Lower variance across counts
Uses worksheet structure to standardize categorization and reduce interpretation gaps.
Program managers
Benchmark productivity using baseline counts
Comparable productivity baselines
Exports consistent functional size measurements derived from the same counting method.
Best for: Fits when teams need repeatable function point sizing from controlled counting worksheets and stable scope.
ScopeMaster
vertical specialistScopeMaster analyzes requirements and calculates function points for software projects.
Worksheet-driven counting flow that keeps boundary and scope decisions tied to each functional size total.
ScopeMaster centers the counting worksheet as the primary artifact, with step-by-step capture for elementary process elements and external interfaces. It provides a repeatable way to define the application boundary and counting scope so the same system and boundary choices carry through multiple counts. Results are generated in a format suitable for downstream functional size reporting, including unadjusted totals and adjusted totals with a value adjustment factor.
A tradeoff appears in governance depth when teams need deep schema-level validation of custom counting extensions, since customization stays centered on the worksheet workflow rather than broad data-model modeling. ScopeMaster fits when functional user requirements and counting evidence need to remain traceable to specific worksheet entries during agile delivery cycles.
- +Worksheet-first workflow reduces manual reconciliation between counts
- +Consistent counting scope setup supports repeatable release comparisons
- +Exported functional size totals support reporting and baseline tracking
- +Rule-driven complexity capture improves consistency across counters
- –Custom extensions are worksheet-focused rather than data-model flexible
- –Boundary setup discipline is required to avoid scope drift
- –Automation surface stays centered on counting and exports
- –Large libraries of historical counts can slow review sessions
Systems engineering leads
Count functional size for release planning
More consistent size baselines
Business analysis teams
Trace requirements to counting evidence
Clear counting audit trail
Show 1 more scenario
Portfolio managers
Compare functional size across variants
Faster portfolio sizing reviews
Exports support unadjusted and adjusted totals for multi-release trend reviews.
Best for: Fits when teams need repeatable function point counting worksheets and exportable size baselines.
SEER-SEM
enterpriseSEER-SEM estimates software effort, cost, risk, and schedule from function points and other size inputs.
Worksheet-centric counting with requirement-to-element traceability designed to produce auditable functional size baselines for estimation cycles.
SEER-SEM is a function points software solution from Galorath focused on function point counting workflows tied to software requirements and sizing worksheets. It translates functional scope into counting worksheets that follow IFPUG-style rules for external inputs, external outputs, internal logical files, and external interface files.
The product is designed to support repeatable counting, traceable sizing baselines, and conversion of counted results into functional size metrics used for productivity and estimation. Admin-ready governance is achieved through controlled project templates, standardized counting practices, and audit-friendly artifacts produced per counting activity.
- +IFPUG-aligned counting worksheets that map functional scope to countable elements
- +Traceability from functional requirements to counted results through structured artifacts
- +Repeatable templates that reduce variance across counters and counting cycles
- +Export-ready functional size outputs for downstream productivity and estimation work
- –Requires a disciplined requirements capture process for consistent counting boundaries
- –Automation is strongest for counting artifacts, with less workflow customization than analysis tools
- –Function point modeling work can slow teams that only need coarse sizing
- –Collaboration features depend on project setup choices for review and change control
Best for: Fits when teams need controlled, rules-based function point counting outputs that feed estimation baselines.
IFPUG Function Point Counting
enterpriseInternational Function Point Users Group provides the standard function point counting method and certification.
Worksheet-driven IFPUG counting that forces explicit classification into elementary processes and data functions.
IFPUG Function Point Counting performs functional size measurement by applying IFPUG counting rules to user functional requirements and system components within a defined application boundary. It supports unadjusted and adjusted function point workflows using complexity weighting and value adjustment factor calculations, with counting worksheets that keep each decision auditable.
The tool is oriented around ISO-aligned function point counting tasks, including elementary process classification for transactional and inquiry behavior and mapping to data function counts. It also supports count scoping through boundary and scope selection so teams can standardize results across releases and variants.
- +Implements IFPUG counting rules workflow with worksheet-level traceability
- +Separates unadjusted and adjusted function point calculation stages
- +Scopes counts with explicit application boundary selection controls
- +Supports complexity weighting across elementary process classifications
- –Rule-based counting needs careful input normalization to avoid misclassification
- –Automation and API surface for external workflows is limited compared to integration-focused tools
- –Less suited for large multi-application portfolios without manual coordination
- –Requires governance discipline to keep counting criteria consistent across counters
Best for: Fits when teams need disciplined IFPUG-based function point counting with worksheet traceability for single applications.
NESMA Function Point Analysis
enterpriseNetherlands Software Metrics Association provides an alternative function point counting standard with early estimation techniques.
NESMA worksheet workflow that enforces NESMA elementary process complexity entry for unadjusted function points.
NESMA Function Point Analysis focuses on applying the NESMA counting guidelines for functional size measurement, targeting organizations that need NESMA-aligned worksheets and consistent sizing. Core capabilities include defining application scope, enumerating elementary processes by complexity, and producing unadjusted function points using the NESMA structure.
The workflow supports repeatable counting activities for functional size estimation and requirements traceability across counting worksheets. Governance depth is geared toward disciplined counting sessions and documented assumptions rather than broad automation across analytics platforms.
- +NESMA-specific counting structure for consistent functional sizing
- +Worksheet-driven approach supports traceable assumptions during counts
- +Clear handling of application boundary and scope selection
- +Repeatable counting flow for recurring projects and baselines
- –Limited visibility into automation, integration, and external data imports
- –Function-point outputs center on NESMA counting rather than multi-standard workflows
- –Audit and change-history controls are oriented to counting sessions
- –Requires careful input normalization to avoid scope and boundary mistakes
Best for: Fits when NESMA-based functional sizing must be standardized across counting workshops and worksheets.
ISBSG
enterpriseInternational Software Benchmarking Standards Group maintains benchmark data for function point based project estimation.
Curated project record library for function point counting benchmarking across varied application types.
ISBSG centers on a curated function points database that supports functional size measurement research and benchmarking. The site’s core capability is providing a large set of historical projects with function point counts that can be filtered by application and counting context.
ISBSG also helps teams align results to established counting guidance by publishing field-level information that can support requirements traceability. For organizations using function point counting, ISBSG is most relevant as an input and comparison reference rather than as an end-to-end counting workspace.
- +Large historical dataset for functional size measurement benchmarking
- +Filterable project records with enough context to compare counting scopes
- +Published counting and measurement guidance helps standardize outputs
- +Useful reference for estimating baseline size and productivity
- –Function point counting requires external workflow for worksheet creation
- –Automation and API surface are limited for programmatic integrations
- –Data completeness varies across records, which can narrow comparisons
- –Governance tools like RBAC and audit log are not the primary focus
Best for: Fits when teams need functional size benchmarking using historical counts and counting context.
CAST Highlight
enterpriseCloud-based software intelligence platform that automates function point counting from source code analysis.
Portfolio-level function point counting driven by a scope-first model tied to application boundaries and worksheet review outputs.
CAST Highlight focuses on function point counting outcomes for application portfolios rather than general analytics dashboards.
The workflow emphasizes application boundary definition and worksheet review, which supports controlled functional size measurement.
Results can be exported as a functional size baseline so teams can carry values into requirements traceability and planning workflows.
- +Clear function point counting scope controls per application boundary
- +Worksheet-style breakdown helps reviewers validate candidate functions
- +Exports support requirements traceability into functional size baselines
- +Counting rule application supports both unadjusted and adjusted outputs
- –Heavier workflow setup is needed to keep counting scope consistent
- –Some portfolios require more analyst time to resolve borderline candidates
- –Integration into custom automation requires work beyond basic exports
- –Visualization is less suited for ad hoc exploratory analysis than dedicated tooling
Best for: Fits when engineering and governance teams need auditable function point measurement across multiple applications.
CAST Application Intelligence Platform
enterpriseOn-premise software analysis platform delivering automated function point counts and structural quality metrics.
Automated discovery and intelligence mapping that connects scanned technology details to dependency-driven impact views.
CAST Application Intelligence Platform ingests application code and runtime signals to produce architecture and risk views tied to specific components. It supports broad technology coverage by modeling systems from multiple layers, then mapping findings to business-facing structures for governance workflows.
The core process centers on automated discovery, impact analysis, and traceable intelligence outputs that support ongoing application lifecycle management. These outputs are built to feed downstream reporting and operational decision-making rather than one-time documentation.
- +Automated application discovery connects intelligence back to concrete components and dependencies
- +Architecture and risk views support prioritization using evidence tied to scanned artifacts
- +Extensive technology coverage reduces gaps when systems span multiple stacks
- +Built-in impact analysis shortens time from change intent to blast-radius understanding
- –Requires governance discipline to keep scan scope, ownership, and remediation workflows consistent
- –Interpretation of findings can take time when teams have no established standards
- –Integration work is heavier when workflows need custom exports and reporting structure
- –Large estates can demand careful planning to manage scan throughput and schedules
Best for: Fits when enterprises need component-level application intelligence, impact analysis, and ongoing governance for complex estates.
LogApps Cadence
vertical specialistInteractive function point data collection and calculation tool certified by IFPUG at Type 2 level.
Release-scoped counting worksheets that keep boundary and scope decisions attached to each functional size result.
LogApps Cadence is a function points software workflow environment built for counting and tracking functional size across releases. It supports function point counting worksheets and structured results capture so teams can link counts to requirements scope and boundaries.
Cadence focuses on audit-friendly measurement processes, with reusable rulesets for complexity weighting and adjusted function points outputs. It is a fit when governance around function point analysis and traceability matters as much as the counting result.
- +Worksheet-first counting flow for repeatable functional size measurements
- +Rules-based conversion from counting outputs to adjusted function point results
- +Release and scope tracking helps keep functional size tied to boundaries
- +Audit-oriented records reduce manual cleanup between counting iterations
- –Function-point configuration can require dedicated governance to stay consistent
- –Integration depth depends on external tooling for requirement ingestion
- –Advanced automation requires more setup than ad hoc spreadsheet counting
- –Reporting formats are less flexible than custom BI-style exports
Best for: Fits when teams need governed function point counting with repeatable worksheets and traceability to scope.
Conclusion
After evaluating 10 data science analytics, Cosmic Function Points stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right function points software
Function points software is used to execute function point counting work that turns user functional requirements into repeatable unadjusted and adjusted function point outputs. This guide covers Cosmic Function Points, SLIM-Estimate, and RapidMiner alongside KNIME, plus ScopeMaster, SEER-SEM, IFPUG Function Point Counting, NESMA Function Point Analysis, ISBSG, CAST Highlight, CAST Application Intelligence Platform, and LogApps Cadence.
The key differentiators across these tools show up in worksheet workflows, how boundary and counting scope decisions are recorded, and how outputs carry forward into estimation baselines or governance processes. Integration depth and automation surface vary widely, from export reuse in Cosmic Function Points to requirements and worksheet creation workflows that depend on external inputs in SEER-SEM and ISBSG.
This buyer's guide compares how each product handles traceability from functional requirements to counted elements, then maps that into operational throughput during counting checkpoints.
Function points software for worksheet-based functional size measurement and governed counting
Function points software supports function point counting and functional size measurement by structuring how teams classify counted elements, apply complexity weighting, and separate unadjusted and adjusted results. Many tools in this list keep counting scope decisions attached to worksheet artifacts so release comparisons and estimation baselines can be reproduced.
Cosmic Function Points is built around a COSMIC worksheet mapping flow that keeps functional requirement traceability connected to counted data movements and data functions in one session. SLIM-Estimate uses function element worksheets that tie classification choices to rollup totals for both unadjusted and adjusted outputs from a single workspace.
Across the set, governance-ready outputs depend on how well each tool enforces counting scope boundaries, how consistently reviewers can validate assumptions, and how export or integration mechanisms move counts into downstream estimation and planning workflows.
Key features that determine repeatable function point counting outcomes
Repeatable function point counting depends on how each tool ties functional scope decisions to worksheet artifacts instead of leaving scope choices in free text. Products like Cosmic Function Points and ScopeMaster attach boundary and scope decisions to the counting session so the same work can be rerun for release comparisons.
Traceability-first worksheet mapping
Cosmic Function Points keeps functional requirement traceability mapped to COSMIC data movements and data functions in one session, so reviewers can follow counted results back to the original requirement statements. SEER-SEM uses worksheet-centric counting with requirement-to-element traceability designed to produce auditable functional size baselines for estimation cycles.
Scope and boundary controls embedded in worksheets
ScopeMaster maintains a worksheet-driven flow that keeps boundary and scope decisions tied to each functional size total. LogApps Cadence also uses release-scoped counting worksheets that attach boundary and scope decisions to each functional size result for governed repeat measurements.
Rules-based complexity weighting across worksheet rollups
SLIM-Estimate uses function element worksheets that connect classification choices to rollup totals for both unadjusted and adjusted outputs from one workspace. LogApps Cadence applies rules-based conversion from counting outputs to adjusted function point results after the worksheet produces functional size counts.
IFPUG or standard-driven counting structure
IFPUG Function Point Counting implements a worksheet-driven IFPUG rules workflow with explicit stages that separate unadjusted and adjusted function point calculation stages. SEER-SEM provides IFPUG-aligned counting worksheets that map functional scope to countable elements and preserve traceability through structured artifacts.
Multi-application governance and portfolio workflows
CAST Highlight targets portfolio-level function point counting with scope-first controls per application boundary and worksheet-style breakdowns for reviewer validation. CAST Application Intelligence Platform focuses on automated application intelligence mapping that ties scanned technology details to dependency-driven impact views that can inform how function point governance should prioritize across complex estates.
How to choose function points software for worksheet rigor, automation, and governance control
Start with the counting unit and workflow philosophy. Some tools center on COSMIC mapping from functional requirements to data movements and data functions in a single session, while others center on worksheet classification steps that produce both unadjusted and adjusted totals from one workspace.
Pick the counting standard workflow that matches the team’s functional sizing rules
Choose Cosmic Function Points when the team needs COSMIC worksheet mapping that keeps functional requirement traceability tied to counted data movements and data functions in one session. Choose IFPUG Function Point Counting when the team wants an IFPUG rules workflow that separates unadjusted and adjusted function point calculation stages in worksheet artifacts.
Choose worksheet scope control depth based on how release comparisons are produced
Choose ScopeMaster when boundary and scope decisions must stay tied to each functional size total through a worksheet-first flow that reduces reconciliation work between counts. Choose LogApps Cadence when release-scoped counting worksheets must keep boundary and scope decisions attached to each functional size result for governed repeat measurements.
Match automation expectations to the tool’s export and workflow steps
Choose Cosmic Function Points when the workflow needs export reuse because automation depth is primarily expressed through exports and workflow steps rather than broad programmatic integration. Choose ISBSG when benchmarking is the priority since the curated project record library supports functional size benchmarking but function point counting requires external worksheet creation.
Select a data ingestion path that fits existing requirement capture practices
Choose SEER-SEM when requirement-to-element traceability must be produced through structured artifacts in worksheet-centric counting designed for auditable baselines in estimation cycles. Choose CAST Application Intelligence Platform when requirement ingestion is expected to come from automated scanned technology evidence and dependency-driven impact views rather than manual worksheet authoring.
Align portfolio governance needs with reviewer workload for borderline cases
Choose CAST Highlight when engineering and governance teams need auditable function point measurement across multiple applications with scope controls per application boundary. Choose NESMA Function Point Analysis when the priority is NESMA elementary process complexity entry standardized across counting workshops and worksheets, even if cross-standard workflows are not the center of gravity.
Who function points software fits best based on counting workflows and governance targets
Teams that rely on repeatable functional size measurement for estimation baselines benefit from tools that keep scope decisions and traceability connected to worksheet artifacts. Tools that center on COSMIC mapping or function element classification reduce drift when requirements and boundaries evolve between counting checkpoints.
Functional sizing teams that run COSMIC counts from functional user requirements
Cosmic Function Points fits teams that need a COSMIC worksheet mapping flow to keep functional requirement traceability connected to counted data movements and data functions in one session.
Estimation teams running IFPUG-aligned cycles that require auditable baselines
SEER-SEM and IFPUG Function Point Counting support worksheet-centric or IFPUG rules workflows that separate unadjusted and adjusted stages and preserve structured artifacts for estimation checkpoints.
Release governance teams that compare function point results across versions
ScopeMaster and LogApps Cadence both tie boundary and scope decisions to each functional size total or release-scoped result to keep repeat measurements consistent across checkpoints.
Portfolio governance teams that need scope-first counting across many applications
CAST Highlight provides portfolio-level function point counting with scope controls per application boundary and worksheet-style breakdowns for reviewer validation of candidate functions.
Architecture intelligence teams focused on dependency-driven impact views
CAST Application Intelligence Platform supports automated application discovery tied to components and dependencies, which supports governance workflows where impact views guide prioritization rather than manual worksheet authoring.
Common mistakes in function point counting workflows and how these tools avoid them
Misclassification and scope drift create counts that cannot be compared across checkpoints. Worksheet-first tools reduce drift by forcing boundary and scope decisions to remain attached to counted totals instead of living outside the work artifacts.
Allowing counting scope definitions to change between iterations so totals drift even when requirements feel stable.
Use ScopeMaster and LogApps Cadence workflows that keep boundary and scope decisions tied to each functional size total or release-scoped worksheet result.
Assuming unadjusted and adjusted outputs come from separate workflows when the team needs a single workspace rollup for governance.
Prefer SLIM-Estimate for function element worksheet rollups that produce both unadjusted and adjusted totals from one workspace.
Overlooking the input normalization required by rule-based counting so classifications do not match the counting rules.
Apply controlled input preparation when using IFPUG Function Point Counting because rule-based counting needs careful input normalization to avoid misclassification.
Choosing a benchmarking-first system and then expecting it to generate the function point worksheets automatically.
Use ISBSG for historical project record benchmarking and keep worksheet creation in an external workflow because automation and API surface are limited for programmatic integrations.
Using export-oriented reuse tools as if they offer deep integration for requirements ingestion.
Plan around Cosmic Function Points export reuse and workflow steps since automation depth is limited to export and workflow steps rather than broad integration surfaces.
How We Selected and Ranked These Tools
We evaluated worksheet workflow fit for function point counting outcomes, using features such as traceability from functional requirements to counted elements and explicit separation of unadjusted and adjusted results. We weighted features at 40% to favor tools where boundary and scope decisions remain tied to worksheet artifacts like COSMIC mapping in Cosmic Function Points and scope control in ScopeMaster.
We weighted ease and value at 30% each to favor repeatable execution steps that reduce manual reconciliation, while recognizing that tools like ISBSG require external worksheet creation. Cosmic Function Points ranked first because its COSMIC worksheet mapping keeps functional requirement traceability to counted data movements and data functions in one session and its exports keep counts reusable for repeat baselines across sizing checkpoints.
Frequently Asked Questions About function points software
How do Cosmic Function Points, SLIM-Estimate, and ScopeMaster differ in worksheet reuse for repeatable counts?
Which tool supports COSMIC method functional sizing with a COSMIC worksheet mapping workflow?
How do SEER-SEM and IFPUG Function Point Counting handle boundary and scope selection for unadjusted versus adjusted outputs?
What breaks if the counting boundary is inconsistent across releases when using function point counting worksheets?
When teams need NESMA-aligned functional size measurement, where does NESMA Function Point Analysis fit relative to IFPUG Function Point Counting?
How do integrations and APIs typically work across function point tools like KNIME and RapidMiner compared with worksheet-first counters?
Which tool provides portfolio-level function point counting organized by application boundaries rather than a single application worksheet?
How does CAST Application Intelligence Platform support requirements traceability compared with counting-only tools?
What security controls differ between function point counting worksheet tools and analytics workflow tools like KNIME and RapidMiner?
Where does data migration fall short when moving function point workspaces between tools like SLIM-Estimate and Cosmic Function Points?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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