Balancing speed and quality, while reducing costs and maintaining productivity, are heroic challenges facing software development teams today. Add in security issues and a dearth of comprehensive tools on the market today, and you’re left with frustrated devops, QA, and management teams.
Arguably, modern software applications should solve these problems. They should be reliable, cost-effective, and security-compliant without compromising functionality and quality. Afterall, developers need time for work that increases the bottom line (like writing apps), not being further bogged down with a lack of quality assessment and automation in our age of digital transformation.
Get An AI-Driven Source Code Quality Assessment
We know that any buyer, investor (internal or external), or potential partner will deep dive into a product’s tech stack to gain insight into the potential and the implied risks before moving forward. Excellent code quality is the holy grail. Without it, findings can permit the investors to ask for additional guarantees, the buyers to request an acquisition price reduction, and internal stakeholders to apply management changes. Interested stakeholders will require an in-depth analysis of the technology and product development used by a company (or a development department) seeking funding (or acquisition) to make sure that their investment is secure.
Quality source code accurately implements the functional specifications of the product, satisfies the non-functional requirements, ensures consumers’ satisfaction, minimizes security and legal risks, and can be affordably maintained and extended.
An AI-driven quality assurance process automates successful decision-making via a powerful framework. It allows you to review, track, and approve code changes with powerful consolidation requests. Unlike other approaches, a c2m assessment considers each step of the analysis as part of an iterative process. The intermediate results are stored in a knowledge base (KB) and used in the next steps of the assessment. AI-Driven reports generate an automated c2m Action List, Automated Development Team Analysis, and an Executive Report providing complete web security, code quality, license compliance, and development team analysis. Such comprehensive reports collectively bridge the gap between technical and non-technical due diligence stakeholders enabling teams to manage their work with a single source of truth. This is perhaps the most significant drawback of other tools currently on the market. c2m offers a configurable set of logic rules that automate, filter the findings, and unify the reports. It is the only solution that holistically addresses the concerns of complex technology transactions: quality, security, cost, and legality.
By leveraging a knowledge base derived from the analysis of a vast set of modern codebases and state-of-the-art advanced AI explainability (see below), reports are compiled and customized to the needs of each different stakeholder.
In the example below, c2m analyzed the libraries linked on a particular codebase by considering the aging and the application security. Each library that is seriously outdated or which poses security vulnerabilities should be replaced. While this might seem obvious, it cannot be automatically concluded unless you consider two sources of information (code parsing tools SCA and Static Security Analysis). This is the point where the majority of alternative methods (tools) fail.
Reduce Costs With Fast, Money-Saving Recommendations
A fully-automated, repeatable, dockerized solution that can be executed on a local server or in a cloud environment will save you time, money, and valuable speed to market. c2m:
takes less than a day to complete (assuming an average codebase size smaller than 10M LOC-ten millions lines of code). It can be repeated holistically, or iterated step-by-step.
is a self-contained suite that doesn’t require installation of other commercial software, yet it can integrate with, and import analysis results from, any tool that offers a rest API connection. This includes task management tools (i.e., JIRA).
can be easily deployed on a private, personal computer (i7/8GB RAM or better) in less than an hour and doesn’t require advanced knowledge.
can be configured and adapted to the investment company business model (no programming required).
supports the majority of modern tech stacks and programming languages (more than 95% of the GIT code)
unifies and delivers indisputable reports detailing comprehensive action lists customizable to all stakeholders from which to then make sound investment decisions.
Further, the reports provide a complete technical due diligence in hours, not days, suitable for a pre-LOI (Letter Of Intention).
Mitigate Risks of License Non-compliance and Application Security Issues
What are license non-compliance and other security failures costing you? Possibly your entire pipeline. Non-compliance doesn’t come cheap. Not only is trust earned, it grows exponentially via your successful deals. On the flip side, fines (infringement on intellectual property plus four times the retail value of the unlicensed software), lost jobs, and audits are on the rise. Gartner predicts a 20% increase each year in the probability of an audit for a midsize to a large organization (currently at 40%).
[1]
Moreover, prevention of malicious code is essential to mitigate overall security risks. Forrester
[2] reports that 70% of most code is open source, which means unknown quality.
During a c2M assessment, the License Compliance Analysis (FOSS), Linked Packages Aging Analysis, and Automated Application Security code review tools (OWASP, CWE) can assure code quality and help you achieve compliance. They permit:
- automatic scanning for security and code quality,
- auditing and compliance with granular access controls,
- setting of rules to automatically keep non-compliant licenses out of your codebase,
- evaluating risk by setting up a use case, and.
- exporting a complete license report that interprets all five clauses – on-Prem use, SaaS use, Modification, Copyright, and Sale – to share with your larger team.
As the only suite that incorporates all of the steps of the source code assessment, c2m can be considered a true one-stop-solution for a complete TDD.
The ‘S’ in Success
By combining the functionality of SCA tools and development automation tools, the fully automated, AI-driven c2m assessment can ensure reliability and improve code quality and compliance while saving your team time and money.
Because it is an all-in-one solution, it is affordable for investors as well as internal and external, technical, and business stakeholders.
And the entire transparent process can be executed, and repeated, on premises ensuring confidentiality of the results and preserving intellectual property. With a focus on quality, you will expand your successful pipeline.
