Detection of Precise C / C + + Memory Leakage by diagnosing Heap dumps using Inter procedural Flow Analysis statistics

Memory leak is a time consuming bug often created by C++ developers. Detection of memory leaks is often tedious. Things get worst if the code is not written by you, or if the code base is quite huge. The most difficult coding bugs such as Memory Corruption, reading uninitialized memory, using freed memory, are challenging in recognizing and fixing due to the delay and non-determinism linking the error. Detecting memory leaks is challenging because real-world applications are built on multiple layers of software frameworks, making it difficult for a developer to know whether observed references to objects are legitimate or the cause of a leak. Our aim is to build a fast and feature rich c Heap Analyzer that helps the user in finding memory leaks and to reduce memory consumption. By using the Heap analyzer. Productive heap dumps with hundreds of millions of objects and the retained sizes of objects can be calculated quickly [2]. This analyzer also prevents the garbage collector from collecting objects, run a report to automatically extract heap leak suspects. The Heap Analyzer allows the users in finding the possible heap leak areas in various C/C++ applications through its Context flow analysis and heap dump analysis. Our approach identifies not just leaking candidates and their structure, but also provides aggregate information about the access path to the leaks