University of Illinois at Chicago Dept. of Computer Science - PDF document

University of Illinois at Chicago Dept. of Computer Science • Traditional strength in software engineering • Many, diverse research projects • Ties with research in computer security, mobile computing, distributed systems, human-computer interaction • Software engineering faculty: – Ugo Buy – Tadao Murata – Sol Shatz – Prasad Sistla – Jeffrey Tsai – Lenore Zuck Control software for manufacturing plants Investigator: Ugo Buy---Support: NIST GUI Problem Statement and Motivation Plant SFCs Constraints spec • Control programs are hard to write and Translator maintain TPNs • Flexible manufacturing demands rapid reconfiguration Supervisor generator • Possibility of deadlock, mutex violations, deadline violations Refined Code Control code TPNs generator Technical Approach Key Achievements and Future Goals • Avoid verification complexity with supervisory • System for enforcing deadlines on transition control firing in time Petri nets • Petri nets vs. finite state automata • Framework for compositional control • Synthesis of deadline-enforcing supervisors • Integration of methods for enforcing mutual using net unfolding exclusion and freedom from deadlock • Compositional methods (e.g., hierarchical • Generation of target code control) 1

Performance Modeling and Analysis of Distributed Systems Using Petri Nets and Fuzzy Logic Investigator: Tadao Murata---Sponsor: NSF Problem Statement and Motivation t 1a P 1a P out-a • The size and complexity of real-time distributed P a (4,5,7,9) (0,0,0,0) systems makes it extremely difficult to predict the d 1a ( τ ) d 2a ( τ ) performance of these applications and their underlying networks d 2a ( τ ) (4,5,7,9) P free • Fuzzy-timing models associate possibility d 2b ( τ ) (4,5,7,9) distributions of delays with events taking place in the system being modeled, well mimicking complex d 2b ( τ ) behaviors of the system, making the formal model P b d 1b ( τ ) very beneficial in performance modeling and analysis P 1b (4,5,7,9) P out-b of complicated distributed systems Key Achievements and Future Goals Technical Approach • Applied FTHN model to assist us in the design of a • Monitor the system to obtain parameters such as high-speed transport protocol for Long Fat Networks. bandwidth and latency to characterize the possibility distributions of the Fuzzy-Timing Petri Net (FTHN) • Developed techniques and tools for performance model analysis of network protocols and QoS requirement analysis of the networks: Proposed a topology- • Build the FTHN model of the architecture to be approximation to enable the formal model to have analyzed based on the collected data capability in modeling unpredictable dynamic topology, • Use fuzzy logic and simulation to analyze and verify thus enlarging its application domains the modeled system. Network features that are needed • Future work includes: apply FTHN model in other in order to implement currently unattainable areas such as developing the intelligent optimization of interactions can be obtained concerted heterogeneous data transmissions in distributed wide-area cluster computing environments APPLYING FORMAL MODELING TO UML DIAGRAMS Investigator: Sol M. Shatz---Support: ARO, NSF Problem Statement and Motivation UML model Rational UML-CPN Rose (XMI) Conversion • Complex software systems difficult to design and analyze CPN • Software engineering dilemma: Semi-formal Model languages (e.g., UML) easy to use but do not (XML) support formal analysis; Formal languages (e.g., Petri nets) support formal analysis but MSC difficult to understand Simulation Simulation Trace Design/CPN • Develop techniques to profit from both types of Query Tool languages. Key Achievements and Future Goals Technical Approach • Transformation based approach • Defined formal semantics of UML statecharts (via translation into colored Petri nets) • Algorithmic translation of UML diagrams into formal notation (colored Petri nets) • Developed software for transforming UML statecharts into colored Petri nets • Formal analysis based on simulation • Developed software for specifying and • Develop various techniques to help users, who answering queries about system behavior are not familiar with the formal notation, reason about the behavior of a system design • Future plans: Other types of UML diagrams; experimental evaluation; timed models and • Develop techniques for checking qualitative analysis properties of the system 2

Automatic Analysis and Verification of Concurrent Hardware/Software Systems Investigators: A. Prasad Sistla---Support: NSF Concurrent Problem Statement and Motivation System Yes/No • The project develops tools for debugging and Spec verification hardware/software systems. Model • Errors in hardware/software analysis occur Checker frequently • Can have enormous economic and social impact Correctness Counter example Spec • Can cause serious security breaches • Errors must be detected and corrected Technical Approach Key Achievements and Future Goals • Model Checking based approach • Developed SMC (Symmetry-based Model Checker ) • Correctness specified in a suitable logical frame work • Employed to find bugs in Fire Wire Protocol • Also employed in analysis of security protocols • Employs State Space Exploration • Different techniques for containing state • Need to extend to embedded systems and general software systems space explosion are used • Need to combine static analysis methods with model checking AID: Adaptive Intrusion Detection System Investigator: Jeffrey J.P. Tsai, Department of Computer Science Problem Statement and Motivation • Computer virus attacks cost global business an estimated $55 billion in 2003, a sum that is expected to increase this year. (ZDNet Security News) • The research goal is to develop an adaptive intrusion detection system (IDS) to reduce the cost of intrusion detection for network systems Key Achievements and Future Goals Technical Approach • Develop a new learning algorithm to produce • An intrusion detection system based on high performance detection models. learning algorithm has been implemented. • Use neural network to improve the decision • The IDS gets better performance than the making procedure from multiple models. winner of the KDDCUP’99 contest using the DARPA database. • Design a new predication algorithm to tune the detection model dynamically. • The IDS will be extended to detect the security problem of wireless sensor network systems. 3

APPLICATIONS OF FORMAL METHODS Lenore Zuck---Sponsors: NSF, ONR, and SRC Problem Statement and Motivation • Translation Validation ─ Backward Compatibility of successive generations of software ─ Formal proofs that optimizing compilers maintain semantics of programs • Termination proofs of Pointer programs • Property Verification of parameterized systems (bus protocols, cache coherence, etc.) Key Achievements and Future Goals Technical Approach • Based on methodology developed, Intel is using • Translation validation verifies each go of the MicroFormal to verify backward compatibility of system. Verification conditions that are microprograms (between RISC & CISC) automatically created are send to theorem provers • (Need to develop better methodologies to prove theories that have bit vectors) • Combination of model checking and deductive methods allows to push the • IIV is a new tool that allows automatic envelope of automatic verification of infinite- verification of safety properties of parameterized state systems (for both pointer programs and systems protocols) • Researchers at MSR have expressed interest to integrate pointer analysis in their verification tool 4