Sriteja Kummita

I am working as a Research Associate at Fraunhofer IEM, Paderborn, Germany. Also in the early stages of pursuing my Ph.D carrier. I am interested in the following topics; Static Analysis, Fuzzing, Dynamic Analysis, Callgraphs.

Work Experience

Fraunhofer IEM

Currently working as Research Associate and also in the early stages of my Ph.D career.

Nov 2020 - Today
Research Associate & Ph.D Candidate

Fraunhofer IEM

Contributed to CrySL (Domain Specific Language to specify Cryptographic misuses), CogniCrypt (is an Eclipse plugin that supports Java developers in using cryptographic APIs efficiently).

Jul 2018 - Sep 2020
Student Research Assistant

GAIN Credit

Gained experience in Python, Django, MySQL, and Docker by working as a full-stack developer in an agile working environment.

Jul 2015 - Feb 2018
Software Engineer



Universit├Ąt Paderborn

Master of Science, Computer Science [2018 - 2020]

Sri Sivasubramaniya Nadar (SSN) College of Engineering

Bachelor of Technology, Information Technology [2011 - 2015]



I am currently working in this project. It aims to combine static analysis and fuzzing techniques to bring best of the both worlds.


Qualitative and Quantitative Analysis of Callgraph Algorithms for PYTHON

Sriteja Kummita, Goran Piskachev, Johannes Spaeth, and Eric Bodden, The First International Conference on Code Quality, Moscow Russia, March 2021 [To appear].

Python is one of the most popular programming languages. And so is also a relevant target for static analysis tools. The primary data structure for performing an inter-procedural analysis is callgraph. There exists multiple algorithms for constructing callgraphs, tailored to specific languages. However, comparatively few implementations target Python. This paper thus presents eval_CG, an extensible framework for comparative analysis of current state-of-the-art Python callgraphs.

Integration of the Static Analysis Results Interchange Format in CogniCrypt (Technical Report)

Sriteja Kummita, and Goran Piskachev

This paper explains the SARIF format through examples and presents a proof of concept of the connector that allows the static analysis tool CogniCrypt to generate and export its results in SARIF format.

Efficient Quality Analysis of Underwater Acoustic Images

Sriteja Kummita, Sree Sharmila T., and Vineetha M., International Journal of Applied Engineering Research, January 2015.

Acoustic is the study of sound. Underwater acoustic images are constructed using sonar systems that give near-photographic images of underwater areas, even in zero visibility water. While capturing images underwater, lot of noise occurs for many reasons, which degrades the quality of the image. This paper concentrates on the median, averaging and wiener filtering for image de-noising and discrete wavelet transform (DWT) along with bi-cubic interpolation for resolution enhancement. The efficiency of these techniques is evaluated using Peak Signal to Noise Ratio (PSNR). The results depicts that efficient de-noising and resolution enhancement techniques are needed for image pre-processing.