Based on the technical needs of customers and users, semiconductor devices have been advanced for the last a few decades. Most of customers and users prefer to have a faster speed and a longer usage time for their electronic devices (e.g., smartphone, tablet PC, and wearable devices). Those needs must have been the de-facto driving force for scaling down the physical dimension of transistors in integrated circuit (IC). When it comes to develop advanced transistors with faster speed but lower power consumption, there should exist conflicting electrical characteristics. For example, as the feature size of transistors in IC chip has been aggressively scaled down, the metal line resistance in IC has become a key knob in determining the aforementioned conflicting electrical characteristics, when the metal lines are designed to be densely placed and structured in a very limited chip area. If the metal line structure is less immune to heat dissipation from transistors, the performance of transistors should be degraded. Since a high speed operation for application processor (AP) is demanded by chip designers, the performance of static random access memory (SRAM) has become more critical. This is because the total volume of SRAM in AP has gradually been increasing. In this thesis, it turned out that the degraded gamma ratio (i.e., the ratio of the on-state drive current of pass-gate transistor to the on-state drive current of pull-up transistor) of failed bit-cells in SRAM array was the main reason for write failure. In addition, it was observed that the Word Line (W/L) sheet resistance of the failed cell is higher than that of good cells. We found that the gamma ratio become smaller when the W/L resistance is high (which is originated from a thinner metal line by metal etch test). We have set up an in-house failure model, in which a high-W/L-resistance-induced W/L enables a signal delay, and thereby, the write margin of SRAM is degraded. Therefore, the performance of pass-gate transistor with a higher WL resistance has become slower than that of normal transistor. To enhance the gamma ratio, we have developed a metal etch recipe. This can tune for reducing the deviation in the distribution of gamma ratio, and therefore, raise up the mean value of gamma ratio by optimizing the PMOS performance. As a result, the gamma ratio was improved from 1.1 to 1.2, and we can completely secure the strong stability of bit-cell without any write failure. And we have used a new index to manage the SRAM write failure, i.e., a Gamma of RWL Index. This would be useful for predicting the write failure of SRAM in real time in FAB. In industry, the index is standardized internally, and we are expecting that this newly-developed index would become significant in managing various FAB parameters. Figure 1