agile defects prediction

  • Goldstein M.
  • Segall I.

Defects prediction is an important and widely researched area. Multiple models involving various software aspects and metrics have been proposed and evaluated in the past. Most of them look at static properties of a specific version of software system or at the entire history of changes for that system. This often leads to prediction of defects for software elements that had many defects in the past and not necessarily in the present. Moreover, it leads to defect prediction on code that may not have changed for some time and is therefore unlikely to contain new defects. In the paper we present a novel approach for defects prediction that compares two consequent releases of a software artifact by analyzing the changes at different levels of granularity. We show that our approach is able to classify elements that were added or changed during the development of the new version as defect prone with high precision. Additionally, we provide a hierarchical visualization technique that guides the code review and testing process, highlighting defect prone code. This saves review and testing time while improving the quality of the new release of the software. Our technique is aligned with the modern Agile and Dev-Ops development methodologies that have short development cycles and frequent releases, as it focuses only on what has actually changed in the code.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...