Organizations large and small use application lifecycle management tools like Jira, Azure DevOps, VersionOne, Rational Team Concert, and others to manage their Agile products and programs
Every day in large organizations, ALM data is used to make forecasts and key decisions about budgeting, staffing, and risk management. Organizations increasingly rely on ALM tools to generate alerts to proactively warn about variances, risks, and shortfalls. Unfortunately, due to late, inaccurate, and incomplete data entry, ALM tools often end up emitting a large volume of false positives, while the real risks remain hidden.
We would like to propose a new approach that automates governance for ALM tools, leveraging the same proven approach used by linting tools like FxCop, stylecop, eslint, pylint and pmd. Rather than expecting perfection, let's provide some guides and seatbelts to enable mere mortals to use alm tools successfully!