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        <article-title>Green Indexes Used in CAST to Measure the Energy Consumption in Code</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>(Invited Talk)</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marco Bessi CAST Software</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Milan</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Italy m.bessi@castsoftware.com</string-name>
        </contrib>
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      <p>While hardware consistently evolves to become more energy
efficient and support green IT strategies, the technology that
companies currently use may be optimized to avoid excessive
expenses as well as prevent further power consumption.
Substandard software programming can consume more hardware
resources than necessary. Excessive calls and code that causes
the system to crash can quickly increase a company’s carbon
footprint. By focusing on the structural quality of software,
companies can find and improve the efficiency of their
applications’ underlying code, as well as reduce defects that
cause outages. CAST’s Green IT Index is a composite of
selected programming best practices that significantly impact
the efficiency and robustness of your applications. Integrated
as part of CAST’s Application Analytics Dashboard, you can
quickly drill down to analyze specific best practice violations
for all your applications. The Green IT Index helps IT
leaders: reduce costs associated with wasted hardware resources;
improve overall software quality; promote an environmentally
conscious culture within the development team.</p>
      <p>BIOGRAPHY</p>
      <p>Marco Bessi is a
Solutions Delivery Consultant
at CAST. He is member
of the delivery
organization in the
implementation of the CAST
technology with various
commercial/government customers.</p>
      <p>With the re-engineering of
their SDCL he introduces
the source code quality
assessment and the action
plan phase to define the list
of mitigation of the
vulnerabilities in the source code. During his Phd, his research
focused on the definition of new methodologies and
implement tools to measure and improve the energy efficiency of
software. In particular, the projectfocused on the intelligent
use of memory to reduce energy consumption</p>
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