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private:codescene
|
10285945
|
Jun 12th, 2022 12:00AM
|
CodeScene
|
1.4K
|
20.00
|
Open
|
Computer Software
|
Jun 11th, 2022 11:03PM
|
Jun 11th, 2022 11:03PM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|
|
private:codescene
|
10285945
|
May 26th, 2022 12:00AM
|
CodeScene
|
1.2K
|
20.00
|
Open
|
Computer Software
|
May 25th, 2022 10:33PM
|
May 26th, 2022 09:16AM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|
|
private:codescene
|
10285945
|
Mar 28th, 2022 12:00AM
|
CodeScene
|
1.1K
|
20.00
|
Open
|
Computer Software
|
Mar 28th, 2022 07:16PM
|
Mar 28th, 2022 07:16PM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|
|
private:codescene
|
10285945
|
Mar 10th, 2022 12:00AM
|
CodeScene
|
1.0K
|
20.00
|
Open
|
Computer Software
|
Mar 10th, 2022 06:24PM
|
Mar 10th, 2022 06:24PM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|
|
private:codescene
|
10285945
|
Feb 14th, 2022 12:00AM
|
CodeScene
|
1.0K
|
20.00
|
Open
|
Computer Software
|
Feb 14th, 2022 11:32AM
|
Feb 14th, 2022 11:32AM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|
|
private:codescene
|
10285945
|
Oct 17th, 2021 12:00AM
|
CodeScene
|
882
|
14.00
|
Open
|
Computer Software
|
Oct 16th, 2021 08:57PM
|
Oct 16th, 2021 08:57PM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|
|
private:codescene
|
10285945
|
Sep 10th, 2021 12:00AM
|
CodeScene
|
852
|
15.00
|
Open
|
Computer Software
|
Sep 9th, 2021 09:29PM
|
Sep 9th, 2021 09:29PM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|
|
private:codescene
|
10285945
|
Aug 30th, 2021 12:00AM
|
CodeScene
|
815
|
15.00
|
Open
|
Computer Software
|
Aug 30th, 2021 07:04PM
|
Aug 30th, 2021 07:04PM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|
|
private:codescene
|
10285945
|
Aug 26th, 2021 12:00AM
|
CodeScene
|
814
|
15.00
|
Open
|
Computer Software
|
Aug 26th, 2021 04:57PM
|
Aug 26th, 2021 04:57PM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|
|
private:codescene
|
10285945
|
Aug 25th, 2021 12:00AM
|
CodeScene
|
812
|
15.00
|
Open
|
Computer Software
|
Aug 24th, 2021 08:18PM
|
Aug 24th, 2021 08:18PM
|
CodeScene differs from traditional code analysis tools. In fact, CodeScene was created as a reaction and complement to traditional static code analysis. The main difference between CodeScene’s behavioral code analysis and traditional code scanning techniques is that static analysis works on a snapshot of the codebase while CodeScene considers the temporal dimension and evolution of the whole system.
This makes it possible for CodeScene to prioritize technical debt and code quality issues based on how the organization actually works with the code.
If you have ever seen a software project spiral out of control, you will recognize the telltale signs: a mountain of technical debt is accumulated, deadlines fly by as the development organization scrambles to get that critical feature in, and management experiences a constant shortage of programmers, no matter how many more people we hire.
CodeScene enables you to identify and focus on the work that matters most and helps organizations by providing clear feedback loops and unique insights into the evolution of a software system with easy to understand insights and reports that help you with great decision-making.
Intended for managers, executives, software architects, technical leaders, testers, and development teams.
Would you like to detect and prioritize technical debt at an early stage?
Would you like to visualize the valuable impact of your latest commit?
Would you like to get insight about needed programming language for a new position in your development team?
Given a large codebase or a legacy system, all potential problems cannot – and should not – be addressed at once. Instead, we would like to prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization.
|
Open
|
code visualization, conway's law, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, code as a crime scene, defect density, microservices, technical debt, cycle times
|
Open
|
Hyllie Boulevard, 34
|
Malmö
|
Sverige
|
SE
|
215 32
|
|
CodeScene
|
|
|